Overview

Brought to you by YData

Dataset statistics

Number of variables154
Number of observations11
Missing cells0
Missing cells (%)0.0%
Total size in memory13.3 KiB
Average record size in memory1.2 KiB

Variable types

Text3
Numeric151

Alerts

Rating has constant value "BB" Constant
FundaIndxint has unique values Unique
FundaIndxsga has unique values Unique
monthvwretd has unique values Unique
monthvwretx has unique values Unique
monthewretd has unique values Unique
monthewretx has unique values Unique
monthsprtrn has unique values Unique
monthspindx has unique values Unique
monthCAP1RET has unique values Unique
monthCAP2RET has unique values Unique
monthCAP3RET has unique values Unique
monthCAP4RET has unique values Unique
monthCAP5RET has unique values Unique
monthCAP6RET has unique values Unique
monthCAP7RET has unique values Unique
monthCAP8RET has unique values Unique
monthCAP9RET has unique values Unique
monthCAP10RET has unique values Unique
monthtotval has unique values Unique
monthtotcnt has unique values Unique
monthusdval has unique values Unique
monthusdcnt has unique values Unique
monthprtcnt has unique values Unique
monthtotret has unique values Unique
monthtotind has unique values Unique
monthcapret has unique values Unique
monthcapind has unique values Unique
monthincret has unique values Unique
monthincind has unique values Unique
SPIndvwretd has unique values Unique
SPIndvwretx has unique values Unique
SPIndewretd has unique values Unique
SPIndewretx has unique values Unique
SPIndtotval has unique values Unique
SPIndtotcnt has unique values Unique
SPIndusdval has unique values Unique
SPIndusdcnt has unique values Unique
SPIndspindx has unique values Unique
SPIndsprtrn has unique values Unique
SPporvwretd has unique values Unique
SPporvwretx has unique values Unique
SPporewretd has unique values Unique
SPporewretx has unique values Unique
SPportotval has unique values Unique
SPportotcnt has unique values Unique
SPporusdval has unique values Unique
SPporusdcnt has unique values Unique
SPporspindx has unique values Unique
SPporsprtrn has unique values Unique
usind2CRSPMEV1 has unique values Unique
usind2CRSPMEG1 has unique values Unique
usind2CRSPLCV1 has unique values Unique
usind2CRSPLCG1 has unique values Unique
usind2CRSPMIV1 has unique values Unique
usind2CRSPMIG1 has unique values Unique
usind2CRSPSCV1 has unique values Unique
usind2CRSPSCG1 has unique values Unique
usind2CRSPMEVT has unique values Unique
usind2CRSPMEGT has unique values Unique
usind2CRSPLCVT has unique values Unique
usind2CRSPLCGT has unique values Unique
usind2CRSPMIVT has unique values Unique
usind2CRSPMIGT has unique values Unique
usind2CRSPSCVT has unique values Unique
usind2CRSPSCGT has unique values Unique
stockvwretd has unique values Unique
stockvwretx has unique values Unique
stockvwTotVal has unique values Unique
stockvwUsdVal has unique values Unique
stockvwTotCnt has unique values Unique
stockvwUsdCnt has unique values Unique
stockewretd has unique values Unique
stockewretx has unique values Unique
stockewTotVal has unique values Unique
stockewUsdVal has unique values Unique
stockewTotCnt has unique values Unique
stockewUsdCnt has unique values Unique
stocksprtrn has unique values Unique
ustreb30ret has unique values Unique
ustreb30ind has unique values Unique
ustreb20ret has unique values Unique
ustreb20ind has unique values Unique
ustreb10ret has unique values Unique
ustreb10ind has unique values Unique
ustreb7ret has unique values Unique
ustreb7ind has unique values Unique
ustreb5ret has unique values Unique
ustreb5ind has unique values Unique
ustreb2ret has unique values Unique
ustreb2ind has unique values Unique
ustreb1ret has unique values Unique
ustreb1ind has unique values Unique
ustret90ret has unique values Unique
ustret90ind has unique values Unique
ustret30ret has unique values Unique
ustret30ind has unique values Unique
ustrecpiret has unique values Unique
ajexm has unique values Unique
ajpm has unique values Unique
cshtrm has unique values Unique
prccm has unique values Unique
prchm has unique values Unique
prclm has unique values Unique
trfm has unique values Unique
trt1m has unique values Unique
index_y has unique values Unique
CAPEI has unique values Unique
bm has unique values Unique
evm has unique values Unique
pe_op_basic has unique values Unique
pe_op_dil has unique values Unique
pe_exi has unique values Unique
pe_inc has unique values Unique
ps has unique values Unique
pcf has unique values Unique
npm has unique values Unique
opmbd has unique values Unique
opmad has unique values Unique
gpm has unique values Unique
ptpm has unique values Unique
cfm has unique values Unique
roa has unique values Unique
roe has unique values Unique
roce has unique values Unique
aftret_eq has unique values Unique
aftret_invcapx has unique values Unique
aftret_equity has unique values Unique
GProf has unique values Unique
equity_invcap has unique values Unique
debt_invcap has unique values Unique
totdebt_invcap has unique values Unique
capital_ratio has unique values Unique
cash_lt has unique values Unique
debt_at has unique values Unique
debt_ebitda has unique values Unique
lt_debt has unique values Unique
cash_debt has unique values Unique
lt_ppent has unique values Unique
dltt_be has unique values Unique
debt_assets has unique values Unique
debt_capital has unique values Unique
de_ratio has unique values Unique
at_turn has unique values Unique
rect_turn has unique values Unique
pay_turn has unique values Unique
sale_invcap has unique values Unique
sale_equity has unique values Unique
rd_sale has unique values Unique
adv_sale has unique values Unique
staff_sale has unique values Unique
accrual has unique values Unique

Reproduction

Analysis started2025-03-30 05:18:09.236683
Analysis finished2025-03-30 05:18:11.852501
Duration2.62 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Distinct3
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size176.0 B
2025-03-30T10:48:12.012971image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.818181818
Min length3

Characters and Unicode

Total characters53
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMoody's
2nd rowFitch
3rd rowS&P
4th rowMoody's
5th rowMoody's
ValueCountFrequency (%)
fitch 4
36.4%
s&p 4
36.4%
moody's 3
27.3%
2025-03-30T10:48:12.839333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 6
11.3%
F 4
 
7.5%
t 4
 
7.5%
c 4
 
7.5%
h 4
 
7.5%
i 4
 
7.5%
S 4
 
7.5%
& 4
 
7.5%
P 4
 
7.5%
M 3
 
5.7%
Other values (4) 12
22.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 53
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 6
11.3%
F 4
 
7.5%
t 4
 
7.5%
c 4
 
7.5%
h 4
 
7.5%
i 4
 
7.5%
S 4
 
7.5%
& 4
 
7.5%
P 4
 
7.5%
M 3
 
5.7%
Other values (4) 12
22.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 53
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 6
11.3%
F 4
 
7.5%
t 4
 
7.5%
c 4
 
7.5%
h 4
 
7.5%
i 4
 
7.5%
S 4
 
7.5%
& 4
 
7.5%
P 4
 
7.5%
M 3
 
5.7%
Other values (4) 12
22.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 53
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 6
11.3%
F 4
 
7.5%
t 4
 
7.5%
c 4
 
7.5%
h 4
 
7.5%
i 4
 
7.5%
S 4
 
7.5%
& 4
 
7.5%
P 4
 
7.5%
M 3
 
5.7%
Other values (4) 12
22.6%

Rating
Text

Constant 

Distinct1
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size176.0 B
2025-03-30T10:48:13.054128image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters22
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBB
2nd rowBB
3rd rowBB
4th rowBB
5th rowBB
ValueCountFrequency (%)
bb 11
100.0%
2025-03-30T10:48:13.718377image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
B 22
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 22
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
B 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 22
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
B 22
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 22
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
B 22
100.0%

FundaIndxint
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06466863663
Minimum-1.991537787
Maximum1.592981794
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:48:14.055659image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.991537787
5-th percentile-1.660805926
Q1-0.5244619619
median-0.01571493985
Q30.6030129984
95-th percentile1.348955006
Maximum1.592981794
Range3.584519581
Interquartile range (IQR)1.12747496

Descriptive statistics

Standard deviation1.040127021
Coefficient of variation (CV)-16.0839485
Kurtosis-0.04436727666
Mean-0.06466863663
Median Absolute Deviation (MAD)0.621844303
Skewness-0.2922899518
Sum-0.7113550029
Variance1.08186422
MonotonicityNot monotonic
2025-03-30T10:48:14.438575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.01571493985 1
9.1%
-1.330074066 1
9.1%
1.104928218 1
9.1%
-0.3731191897 1
9.1%
-0.01158331978 1
9.1%
0.6061293631 1
9.1%
-0.2174569769 1
9.1%
-0.6758047342 1
9.1%
-1.991537787 1
9.1%
1.592981794 1
9.1%
ValueCountFrequency (%)
-1.991537787 1
9.1%
-1.330074066 1
9.1%
-0.6758047342 1
9.1%
-0.3731191897 1
9.1%
-0.2174569769 1
9.1%
ValueCountFrequency (%)
1.592981794 1
9.1%
1.104928218 1
9.1%
0.6061293631 1
9.1%
0.5998966337 1
9.1%
-0.01158331978 1
9.1%

FundaIndxsga
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2766982363
Minimum-1.440652739
Maximum2.024720998
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)27.3%
Memory size176.0 B
2025-03-30T10:48:14.837434image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.440652739
5-th percentile-1.339441795
Q1-0.2716120021
median0.1481817314
Q31.097017244
95-th percentile1.627466176
Maximum2.024720998
Range3.465373737
Interquartile range (IQR)1.368629246

Descriptive statistics

Standard deviation1.068066922
Coefficient of variation (CV)3.860042393
Kurtosis-0.5726474732
Mean0.2766982363
Median Absolute Deviation (MAD)0.9125107318
Skewness-0.1792891569
Sum3.0436806
Variance1.14076695
MonotonicityNot monotonic
2025-03-30T10:48:15.227032image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.139204111 1
9.1%
0.001813611195 1
9.1%
0.1481817314 1
9.1%
-0.5450376153 1
9.1%
1.230211354 1
9.1%
-1.238230851 1
9.1%
0.5294355117 1
9.1%
2.024720998 1
9.1%
-1.440652739 1
9.1%
1.060692463 1
9.1%
ValueCountFrequency (%)
-1.440652739 1
9.1%
-1.238230851 1
9.1%
-0.5450376153 1
9.1%
0.001813611195 1
9.1%
0.139204111 1
9.1%
ValueCountFrequency (%)
2.024720998 1
9.1%
1.230211354 1
9.1%
1.133342025 1
9.1%
1.060692463 1
9.1%
0.5294355117 1
9.1%

monthvwretd
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6690835883
Minimum-2.564341981
Maximum0.8233525163
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)81.8%
Memory size176.0 B
2025-03-30T10:48:15.597094image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.564341981
5-th percentile-1.944976128
Q1-1.155488595
median-0.6453222092
Q3-0.08401918645
95-th percentile0.5542639205
Maximum0.8233525163
Range3.387694498
Interquartile range (IQR)1.071469408

Descriptive statistics

Standard deviation0.9177330533
Coefficient of variation (CV)-1.371626908
Kurtosis0.8071748833
Mean-0.6690835883
Median Absolute Deviation (MAD)0.5638001804
Skewness-0.4342022213
Sum-7.359919472
Variance0.8422339572
MonotonicityNot monotonic
2025-03-30T10:48:15.980341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.04524962374 1
9.1%
-2.564341981 1
9.1%
0.2851753246 1
9.1%
-1.20912239 1
9.1%
-1.325610276 1
9.1%
-0.6453222092 1
9.1%
-0.1227887492 1
9.1%
-0.9362450283 1
9.1%
-0.5179122558 1
9.1%
0.8233525163 1
9.1%
ValueCountFrequency (%)
-2.564341981 1
9.1%
-1.325610276 1
9.1%
-1.20912239 1
9.1%
-1.1018548 1
9.1%
-0.9362450283 1
9.1%
ValueCountFrequency (%)
0.8233525163 1
9.1%
0.2851753246 1
9.1%
-0.04524962374 1
9.1%
-0.1227887492 1
9.1%
-0.5179122558 1
9.1%

monthvwretx
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4329425541
Minimum-1.637994036
Maximum1.964252967
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)27.3%
Memory size176.0 B
2025-03-30T10:48:16.345877image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.637994036
5-th percentile-1.275061146
Q10.0168021702
median0.5041068597
Q30.8972997132
95-th percentile1.905616649
Maximum1.964252967
Range3.602247003
Interquartile range (IQR)0.880497543

Descriptive statistics

Standard deviation1.068216942
Coefficient of variation (CV)2.467341064
Kurtosis0.2559592204
Mean0.4329425541
Median Absolute Deviation (MAD)0.4930083622
Skewness-0.485313861
Sum4.762368095
Variance1.141087435
MonotonicityNot monotonic
2025-03-30T10:48:16.726549image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.9121282566 1
9.1%
0.9971152219 1
9.1%
0.5041068597 1
9.1%
1.964252967 1
9.1%
0.1781284258 1
9.1%
0.7687274921 1
9.1%
0.4002189704 1
9.1%
-1.637994036 1
9.1%
0.7974842045 1
9.1%
1.846980331 1
9.1%
ValueCountFrequency (%)
-1.637994036 1
9.1%
-0.9121282566 1
9.1%
-0.1445240854 1
9.1%
0.1781284258 1
9.1%
0.4002189704 1
9.1%
ValueCountFrequency (%)
1.964252967 1
9.1%
1.846980331 1
9.1%
0.9971152219 1
9.1%
0.7974842045 1
9.1%
0.7687274921 1
9.1%

monthewretd
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.116415885
Minimum-1.629302611
Maximum1.21472206
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:48:17.107610image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.629302611
5-th percentile-1.4602135
Q1-0.9258776987
median-0.01274415049
Q30.7248395407
95-th percentile1.092399919
Maximum1.21472206
Range2.84402467
Interquartile range (IQR)1.650717239

Descriptive statistics

Standard deviation0.9999332822
Coefficient of variation (CV)-8.589319938
Kurtosis-1.643350169
Mean-0.116415885
Median Absolute Deviation (MAD)0.9024972295
Skewness-0.1475489814
Sum-1.280574735
Variance0.9998665689
MonotonicityNot monotonic
2025-03-30T10:48:17.458730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.4972917778 1
9.1%
0.7628472908 1
9.1%
-1.291124389 1
9.1%
0.6868317905 1
9.1%
1.21472206 1
9.1%
-0.01274415049 1
9.1%
0.9700777779 1
9.1%
-0.9365140175 1
9.1%
-0.6274188844 1
9.1%
-0.91524138 1
9.1%
ValueCountFrequency (%)
-1.629302611 1
9.1%
-1.291124389 1
9.1%
-0.9365140175 1
9.1%
-0.91524138 1
9.1%
-0.6274188844 1
9.1%
ValueCountFrequency (%)
1.21472206 1
9.1%
0.9700777779 1
9.1%
0.7628472908 1
9.1%
0.6868317905 1
9.1%
0.4972917778 1
9.1%

monthewretx
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1413052484
Minimum-2.124098074
Maximum1.454927808
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:48:17.835655image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.124098074
5-th percentile-1.51732796
Q1-0.8206934292
median-0.06429268711
Q30.6424786196
95-th percentile1.202553144
Maximum1.454927808
Range3.579025883
Interquartile range (IQR)1.463172049

Descriptive statistics

Standard deviation1.034743159
Coefficient of variation (CV)-7.322751071
Kurtosis-0.1425877386
Mean-0.1413052484
Median Absolute Deviation (MAD)0.8065719605
Skewness-0.2746850503
Sum-1.554357732
Variance1.070693405
MonotonicityNot monotonic
2025-03-30T10:48:18.232795image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.9105578447 1
9.1%
-0.8708646476 1
9.1%
-2.124098074 1
9.1%
-0.5677190348 1
9.1%
0.06363324037 1
9.1%
-0.7705222108 1
9.1%
0.8125605964 1
9.1%
0.4723966428 1
9.1%
-0.06429268711 1
9.1%
0.9501784795 1
9.1%
ValueCountFrequency (%)
-2.124098074 1
9.1%
-0.9105578447 1
9.1%
-0.8708646476 1
9.1%
-0.7705222108 1
9.1%
-0.5677190348 1
9.1%
ValueCountFrequency (%)
1.454927808 1
9.1%
0.9501784795 1
9.1%
0.8125605964 1
9.1%
0.4723966428 1
9.1%
0.06363324037 1
9.1%

monthsprtrn
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3582125483
Minimum-2.64725288
Maximum1.20759217
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:48:18.615616image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.64725288
5-th percentile-2.275882476
Q1-0.8373187545
median-0.3077856167
Q30.4992352421
95-th percentile1.022644804
Maximum1.20759217
Range3.85484505
Interquartile range (IQR)1.336553997

Descriptive statistics

Standard deviation1.168307299
Coefficient of variation (CV)-3.261491829
Kurtosis0.07142520787
Mean-0.3582125483
Median Absolute Deviation (MAD)0.5608215726
Skewness-0.6682016361
Sum-3.940338031
Variance1.364941945
MonotonicityNot monotonic
2025-03-30T10:48:18.996552image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.20759217 1
9.1%
0.2304872146 1
9.1%
-0.1183234227 1
9.1%
0.7679832697 1
9.1%
-0.3077856167 1
9.1%
-0.8686071893 1
9.1%
0.8376974384 1
9.1%
-1.904512072 1
9.1%
-2.64725288 1
9.1%
-0.8060303197 1
9.1%
ValueCountFrequency (%)
-2.64725288 1
9.1%
-1.904512072 1
9.1%
-0.8686071893 1
9.1%
-0.8060303197 1
9.1%
-0.3315866243 1
9.1%
ValueCountFrequency (%)
1.20759217 1
9.1%
0.8376974384 1
9.1%
0.7679832697 1
9.1%
0.2304872146 1
9.1%
-0.1183234227 1
9.1%

monthspindx
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0009638881917
Minimum-1.705086669
Maximum2.453842174
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:48:19.377365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.705086669
5-th percentile-1.445253337
Q1-0.7553317866
median0.1513694746
Q30.5331702992
95-th percentile1.571852712
Maximum2.453842174
Range4.158928843
Interquartile range (IQR)1.288502086

Descriptive statistics

Standard deviation1.123522216
Coefficient of variation (CV)1165.614669
Kurtosis1.33901041
Mean0.0009638881917
Median Absolute Deviation (MAD)0.5384937752
Skewness0.6713055724
Sum0.01060277011
Variance1.26230217
MonotonicityNot monotonic
2025-03-30T10:48:19.734752image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.1040497568 1
9.1%
0.515272853 1
9.1%
2.453842174 1
9.1%
-0.6046277786 1
9.1%
-0.9060357945 1
9.1%
0.5510677455 1
9.1%
0.1513694746 1
9.1%
0.154407277 1
9.1%
-1.185420005 1
9.1%
-1.705086669 1
9.1%
ValueCountFrequency (%)
-1.705086669 1
9.1%
-1.185420005 1
9.1%
-0.9060357945 1
9.1%
-0.6046277786 1
9.1%
-0.1040497568 1
9.1%
ValueCountFrequency (%)
2.453842174 1
9.1%
0.6898632498 1
9.1%
0.5510677455 1
9.1%
0.515272853 1
9.1%
0.154407277 1
9.1%

monthCAP1RET
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05652948811
Minimum-2.284819572
Maximum1.215155009
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:48:20.112502image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.284819572
5-th percentile-1.372557508
Q1-0.3828699312
median-0.1586554959
Q30.5457354676
95-th percentile1.199284629
Maximum1.215155009
Range3.499974581
Interquartile range (IQR)0.9286053989

Descriptive statistics

Standard deviation0.9805700479
Coefficient of variation (CV)-17.34616889
Kurtosis1.914423923
Mean-0.05652948811
Median Absolute Deviation (MAD)0.3016399483
Skewness-0.8125068018
Sum-0.6218243692
Variance0.9615176189
MonotonicityNot monotonic
2025-03-30T10:48:20.492354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.1542473137 1
9.1%
-0.1586554959 1
9.1%
0.9372236215 1
9.1%
-0.1189979757 1
9.1%
1.215155009 1
9.1%
-0.3233562123 1
9.1%
1.18341425 1
9.1%
-0.4602954442 1
9.1%
-0.3534267437 1
9.1%
-0.4123131187 1
9.1%
ValueCountFrequency (%)
-2.284819572 1
9.1%
-0.4602954442 1
9.1%
-0.4123131187 1
9.1%
-0.3534267437 1
9.1%
-0.3233562123 1
9.1%
ValueCountFrequency (%)
1.215155009 1
9.1%
1.18341425 1
9.1%
0.9372236215 1
9.1%
0.1542473137 1
9.1%
-0.1189979757 1
9.1%

monthCAP2RET
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2644823151
Minimum-1.918674757
Maximum1.659947603
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:48:20.869759image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.918674757
5-th percentile-1.690355364
Q1-1.074152185
median-0.1634673367
Q30.2988728056
95-th percentile1.524130152
Maximum1.659947603
Range3.57862236
Interquartile range (IQR)1.373024991

Descriptive statistics

Standard deviation1.144172578
Coefficient of variation (CV)-4.326083494
Kurtosis-0.6487551976
Mean-0.2644823151
Median Absolute Deviation (MAD)0.6694071732
Skewness0.3436031215
Sum-2.909305466
Variance1.309130887
MonotonicityNot monotonic
2025-03-30T10:48:21.246493image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.388312701 1
9.1%
1.659947603 1
9.1%
-0.1420385268 1
9.1%
-1.406284629 1
9.1%
-1.918674757 1
9.1%
-0.1634673367 1
9.1%
-0.7420197416 1
9.1%
0.09180577458 1
9.1%
-0.7207904189 1
9.1%
0.5059398365 1
9.1%
ValueCountFrequency (%)
-1.918674757 1
9.1%
-1.462035972 1
9.1%
-1.406284629 1
9.1%
-0.7420197416 1
9.1%
-0.7207904189 1
9.1%
ValueCountFrequency (%)
1.659947603 1
9.1%
1.388312701 1
9.1%
0.5059398365 1
9.1%
0.09180577458 1
9.1%
-0.1420385268 1
9.1%

monthCAP3RET
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1452785379
Minimum-2.156980645
Maximum1.580954295
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:48:21.629168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.156980645
5-th percentile-1.68714275
Q1-0.4854743496
median0.3120794188
Q31.046202007
95-th percentile1.545308377
Maximum1.580954295
Range3.73793494
Interquartile range (IQR)1.531676357

Descriptive statistics

Standard deviation1.169926081
Coefficient of variation (CV)8.052986342
Kurtosis-0.1425148183
Mean0.1452785379
Median Absolute Deviation (MAD)0.7514863006
Skewness-0.6432397031
Sum1.598063917
Variance1.368727036
MonotonicityNot monotonic
2025-03-30T10:48:22.035229image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-2.156980645 1
9.1%
1.063565719 1
9.1%
0.3120794188 1
9.1%
-0.2705998917 1
9.1%
-1.217304856 1
9.1%
0.3904023439 1
9.1%
0.05779558559 1
9.1%
1.509662458 1
9.1%
1.028838295 1
9.1%
-0.7003488075 1
9.1%
ValueCountFrequency (%)
-2.156980645 1
9.1%
-1.217304856 1
9.1%
-0.7003488075 1
9.1%
-0.2705998917 1
9.1%
0.05779558559 1
9.1%
ValueCountFrequency (%)
1.580954295 1
9.1%
1.509662458 1
9.1%
1.063565719 1
9.1%
1.028838295 1
9.1%
0.3904023439 1
9.1%

monthCAP4RET
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1412533473
Minimum-2.335572724
Maximum2.079945924
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:48:22.439279image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.335572724
5-th percentile-1.946094347
Q1-0.66232443
median0.4933833004
Q30.9467216338
95-th percentile1.714112995
Maximum2.079945924
Range4.415518648
Interquartile range (IQR)1.609046064

Descriptive statistics

Standard deviation1.313002201
Coefficient of variation (CV)9.295370523
Kurtosis-0.2208605483
Mean0.1412533473
Median Absolute Deviation (MAD)0.8548967655
Skewness-0.5856639796
Sum1.55378682
Variance1.723974779
MonotonicityNot monotonic
2025-03-30T10:48:22.805160image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2.079945924 1
9.1%
0.4933833004 1
9.1%
-1.556615971 1
9.1%
-0.675986273 1
9.1%
-2.335572724 1
9.1%
-0.648662587 1
9.1%
0.2980522101 1
9.1%
0.9810686537 1
9.1%
0.912374614 1
9.1%
0.6575196075 1
9.1%
ValueCountFrequency (%)
-2.335572724 1
9.1%
-1.556615971 1
9.1%
-0.675986273 1
9.1%
-0.648662587 1
9.1%
0.2980522101 1
9.1%
ValueCountFrequency (%)
2.079945924 1
9.1%
1.348280066 1
9.1%
0.9810686537 1
9.1%
0.912374614 1
9.1%
0.6575196075 1
9.1%

monthCAP5RET
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09631528037
Minimum-1.194439758
Maximum1.255198484
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:48:23.154020image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.194439758
5-th percentile-1.126912651
Q1-0.6618096968
median-0.3601935946
Q30.5949412003
95-th percentile1.102868246
Maximum1.255198484
Range2.449638242
Interquartile range (IQR)1.256750897

Descriptive statistics

Standard deviation0.8344633839
Coefficient of variation (CV)-8.663873279
Kurtosis-1.251340801
Mean-0.09631528037
Median Absolute Deviation (MAD)0.6991919492
Skewness0.3450285817
Sum-1.059468084
Variance0.6963291392
MonotonicityNot monotonic
2025-03-30T10:48:23.531292image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.5073327754 1
9.1%
0.9505380079 1
9.1%
-1.059385544 1
9.1%
0.4575373461 1
9.1%
-1.194439758 1
9.1%
-0.01011591147 1
9.1%
0.7323450544 1
9.1%
-0.5425989644 1
9.1%
1.255198484 1
9.1%
-0.7810204293 1
9.1%
ValueCountFrequency (%)
-1.194439758 1
9.1%
-1.059385544 1
9.1%
-0.7810204293 1
9.1%
-0.5425989644 1
9.1%
-0.5073327754 1
9.1%
ValueCountFrequency (%)
1.255198484 1
9.1%
0.9505380079 1
9.1%
0.7323450544 1
9.1%
0.4575373461 1
9.1%
-0.01011591147 1
9.1%

monthCAP6RET
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1191462592
Minimum-2.30410234
Maximum1.32680942
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:48:23.891584image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.30410234
5-th percentile-1.802502048
Q1-1.074534999
median-0.2441998352
Q30.9556461429
95-th percentile1.213357185
Maximum1.32680942
Range3.63091176
Interquartile range (IQR)2.030181142

Descriptive statistics

Standard deviation1.205946992
Coefficient of variation (CV)-10.12156823
Kurtosis-1.003390327
Mean-0.1191462592
Median Absolute Deviation (MAD)1.056701921
Skewness-0.4454992189
Sum-1.310608851
Variance1.454308147
MonotonicityNot monotonic
2025-03-30T10:48:24.290681image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.6055397781 1
9.1%
-1.293558639 1
9.1%
0.9093400181 1
9.1%
1.001952268 1
9.1%
1.32680942 1
9.1%
-0.855511358 1
9.1%
1.099904951 1
9.1%
-0.2558813577 1
9.1%
-0.2441998352 1
9.1%
-2.30410234 1
9.1%
ValueCountFrequency (%)
-2.30410234 1
9.1%
-1.300901757 1
9.1%
-1.293558639 1
9.1%
-0.855511358 1
9.1%
-0.2558813577 1
9.1%
ValueCountFrequency (%)
1.32680942 1
9.1%
1.099904951 1
9.1%
1.001952268 1
9.1%
0.9093400181 1
9.1%
0.6055397781 1
9.1%

monthCAP7RET
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1528146446
Minimum-2.133133035
Maximum1.053057433
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:48:24.672448image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.133133035
5-th percentile-1.598121036
Q1-0.3072763437
median-0.1687967867
Q30.3500523208
95-th percentile0.9811367997
Maximum1.053057433
Range3.186190468
Interquartile range (IQR)0.6573286646

Descriptive statistics

Standard deviation0.8911205408
Coefficient of variation (CV)-5.831381821
Kurtosis1.543421504
Mean-0.1528146446
Median Absolute Deviation (MAD)0.3815416252
Skewness-0.9098458818
Sum-1.680961091
Variance0.7940958182
MonotonicityNot monotonic
2025-03-30T10:48:25.053739image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.1028355202 1
9.1%
0.9092161665 1
9.1%
-0.3460844172 1
9.1%
1.053057433 1
9.1%
-0.1687967867 1
9.1%
-1.063109037 1
9.1%
0.4873598032 1
9.1%
-0.2609122661 1
9.1%
-2.133133035 1
9.1%
-0.2684682703 1
9.1%
ValueCountFrequency (%)
-2.133133035 1
9.1%
-1.063109037 1
9.1%
-0.3460844172 1
9.1%
-0.2684682703 1
9.1%
-0.2609122661 1
9.1%
ValueCountFrequency (%)
1.053057433 1
9.1%
0.9092161665 1
9.1%
0.4873598032 1
9.1%
0.2127448385 1
9.1%
-0.1028355202 1
9.1%

monthCAP8RET
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02585229889
Minimum-1.327936514
Maximum1.393159969
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:48:25.434449image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.327936514
5-th percentile-1.233302226
Q1-0.7021991653
median0.0697792135
Q30.3637026205
95-th percentile1.35036939
Maximum1.393159969
Range2.721096483
Interquartile range (IQR)1.065901786

Descriptive statistics

Standard deviation0.8967175799
Coefficient of variation (CV)-34.68618336
Kurtosis-0.7223094354
Mean-0.02585229889
Median Absolute Deviation (MAD)0.6976957361
Skewness0.1971270688
Sum-0.2843752878
Variance0.804102418
MonotonicityNot monotonic
2025-03-30T10:48:25.831106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.1828069092 1
9.1%
-0.09410264846 1
9.1%
-0.6279165226 1
9.1%
0.483772741 1
9.1%
-1.327936514 1
9.1%
0.0697792135 1
9.1%
0.2436325 1
9.1%
-1.138667938 1
9.1%
1.307578811 1
9.1%
-0.7764818081 1
9.1%
ValueCountFrequency (%)
-1.327936514 1
9.1%
-1.138667938 1
9.1%
-0.7764818081 1
9.1%
-0.6279165226 1
9.1%
-0.09410264846 1
9.1%
ValueCountFrequency (%)
1.393159969 1
9.1%
1.307578811 1
9.1%
0.483772741 1
9.1%
0.2436325 1
9.1%
0.1828069092 1
9.1%

monthCAP9RET
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6865718115
Minimum-2.517433102
Maximum1.159015245
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:48:26.182149image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.517433102
5-th percentile-2.509617982
Q1-1.838814342
median-0.4685829319
Q30.3166097738
95-th percentile1.03938143
Maximum1.159015245
Range3.676448347
Interquartile range (IQR)2.155424116

Descriptive statistics

Standard deviation1.359565774
Coefficient of variation (CV)-1.980223701
Kurtosis-1.5792962
Mean-0.6865718115
Median Absolute Deviation (MAD)1.052944721
Skewness-0.1432180729
Sum-7.552289927
Variance1.848419094
MonotonicityNot monotonic
2025-03-30T10:48:26.563009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.521527653 1
9.1%
0.1815868459 1
9.1%
-0.4685829319 1
9.1%
0.1061787678 1
9.1%
-2.501802861 1
9.1%
-2.517433102 1
9.1%
1.159015245 1
9.1%
-1.205003521 1
9.1%
0.9197476143 1
9.1%
0.4516327016 1
9.1%
ValueCountFrequency (%)
-2.517433102 1
9.1%
-2.501802861 1
9.1%
-2.156101031 1
9.1%
-1.521527653 1
9.1%
-1.205003521 1
9.1%
ValueCountFrequency (%)
1.159015245 1
9.1%
0.9197476143 1
9.1%
0.4516327016 1
9.1%
0.1815868459 1
9.1%
0.1061787678 1
9.1%

monthCAP10RET
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2895246487
Minimum-1.075264588
Maximum3.254647293
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:48:26.989859image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.075264588
5-th percentile-0.9567304511
Q1-0.5041575008
median0.1257511725
Q30.6220529579
95-th percentile2.325863397
Maximum3.254647293
Range4.329911881
Interquartile range (IQR)1.126210459

Descriptive statistics

Standard deviation1.231111401
Coefficient of variation (CV)4.252181658
Kurtosis2.614904854
Mean0.2895246487
Median Absolute Deviation (MAD)0.6633828526
Skewness1.459663215
Sum3.184771136
Variance1.515635281
MonotonicityNot monotonic
2025-03-30T10:48:27.358767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.3456095147 1
9.1%
1.397079501 1
9.1%
0.4305726721 1
9.1%
-0.838196314 1
9.1%
-0.4137091677 1
9.1%
0.1257511725 1
9.1%
-1.075264588 1
9.1%
0.4549718906 1
9.1%
-0.5946058338 1
9.1%
3.254647293 1
9.1%
ValueCountFrequency (%)
-1.075264588 1
9.1%
-0.838196314 1
9.1%
-0.5946058338 1
9.1%
-0.4137091677 1
9.1%
-0.3456095147 1
9.1%
ValueCountFrequency (%)
3.254647293 1
9.1%
1.397079501 1
9.1%
0.7891340251 1
9.1%
0.4549718906 1
9.1%
0.4305726721 1
9.1%

monthtotval
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.284734517
Minimum-1.592601084
Maximum1.308224078
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:48:27.715775image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.592601084
5-th percentile-1.060440029
Q1-0.4149648655
median0.8122397809
Q31.039033777
95-th percentile1.209971323
Maximum1.308224078
Range2.900825162
Interquartile range (IQR)1.453998643

Descriptive statistics

Standard deviation0.9404075896
Coefficient of variation (CV)3.302752331
Kurtosis-0.4570974715
Mean0.284734517
Median Absolute Deviation (MAD)0.4959842969
Skewness-0.740940035
Sum3.132079687
Variance0.8843664346
MonotonicityNot monotonic
2025-03-30T10:48:28.086559image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.308224078 1
9.1%
-0.5282789734 1
9.1%
-0.3564716374 1
9.1%
1.096753427 1
9.1%
-0.4734580936 1
9.1%
0.981314128 1
9.1%
-1.592601084 1
9.1%
0.8122397809 1
9.1%
0.8849933861 1
9.1%
-0.1123538915 1
9.1%
ValueCountFrequency (%)
-1.592601084 1
9.1%
-0.5282789734 1
9.1%
-0.4734580936 1
9.1%
-0.3564716374 1
9.1%
-0.1123538915 1
9.1%
ValueCountFrequency (%)
1.308224078 1
9.1%
1.111718568 1
9.1%
1.096753427 1
9.1%
0.981314128 1
9.1%
0.8849933861 1
9.1%

monthtotcnt
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1106365878
Minimum-2.16471425
Maximum1.411876519
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)27.3%
Memory size176.0 B
2025-03-30T10:48:28.483423image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.16471425
5-th percentile-1.623540795
Q1-0.3177724813
median0.5144009366
Q30.7136871492
95-th percentile1.100419937
Maximum1.411876519
Range3.576590769
Interquartile range (IQR)1.03145963

Descriptive statistics

Standard deviation1.037854863
Coefficient of variation (CV)9.38075626
Kurtosis1.03709419
Mean0.1106365878
Median Absolute Deviation (MAD)0.2745624187
Skewness-1.204530058
Sum1.217002465
Variance1.077142717
MonotonicityNot monotonic
2025-03-30T10:48:28.873966image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.3274197717 1
9.1%
-2.16471425 1
9.1%
0.6295941364 1
9.1%
0.5144009366 1
9.1%
-1.082367339 1
9.1%
0.6590313489 1
9.1%
1.411876519 1
9.1%
0.7889633552 1
9.1%
0.150134634 1
9.1%
0.7683429495 1
9.1%
ValueCountFrequency (%)
-2.16471425 1
9.1%
-1.082367339 1
9.1%
-0.7856795966 1
9.1%
0.150134634 1
9.1%
0.3274197717 1
9.1%
ValueCountFrequency (%)
1.411876519 1
9.1%
0.7889633552 1
9.1%
0.7683429495 1
9.1%
0.6590313489 1
9.1%
0.6295941364 1
9.1%

monthusdval
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4339672447
Minimum-1.307574384
Maximum1.310384702
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)18.2%
Memory size176.0 B
2025-03-30T10:48:29.271682image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.307574384
5-th percentile-0.8650577471
Q10.4097212723
median0.5259775584
Q30.8512025899
95-th percentile1.216812013
Maximum1.310384702
Range2.617959086
Interquartile range (IQR)0.4414813176

Descriptive statistics

Standard deviation0.7336367909
Coefficient of variation (CV)1.690534942
Kurtosis2.55141821
Mean0.4339672447
Median Absolute Deviation (MAD)0.2972513199
Skewness-1.473550573
Sum4.773639691
Variance0.538222941
MonotonicityNot monotonic
2025-03-30T10:48:29.636666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.411786291 1
9.1%
-1.307574384 1
9.1%
1.123239325 1
9.1%
0.8232288783 1
9.1%
0.5351414355 1
9.1%
0.5259775584 1
9.1%
0.4076562536 1
9.1%
-0.4225411104 1
9.1%
0.4871644402 1
9.1%
0.8791763014 1
9.1%
ValueCountFrequency (%)
-1.307574384 1
9.1%
-0.4225411104 1
9.1%
0.4076562536 1
9.1%
0.411786291 1
9.1%
0.4871644402 1
9.1%
ValueCountFrequency (%)
1.310384702 1
9.1%
1.123239325 1
9.1%
0.8791763014 1
9.1%
0.8232288783 1
9.1%
0.5351414355 1
9.1%

monthusdcnt
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3501309477
Minimum-2.332837801
Maximum1.247895958
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:48:30.001885image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.332837801
5-th percentile-2.286755793
Q1-0.8619957658
median-0.205148229
Q30.4942052997
95-th percentile1.100460053
Maximum1.247895958
Range3.580733759
Interquartile range (IQR)1.356201065

Descriptive statistics

Standard deviation1.192038875
Coefficient of variation (CV)-3.404551589
Kurtosis-0.5113794033
Mean-0.3501309477
Median Absolute Deviation (MAD)0.9665216291
Skewness-0.501369679
Sum-3.851440425
Variance1.420956678
MonotonicityNot monotonic
2025-03-30T10:48:30.382801image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.1795104627 1
9.1%
0.9530241471 1
9.1%
-0.5523216736 1
9.1%
-0.3586093195 1
9.1%
-1.171669858 1
9.1%
0.1332572339 1
9.1%
-2.240673786 1
9.1%
1.247895958 1
9.1%
-2.332837801 1
9.1%
-0.205148229 1
9.1%
ValueCountFrequency (%)
-2.332837801 1
9.1%
-2.240673786 1
9.1%
-1.171669858 1
9.1%
-0.5523216736 1
9.1%
-0.3586093195 1
9.1%
ValueCountFrequency (%)
1.247895958 1
9.1%
0.9530241471 1
9.1%
0.8551533655 1
9.1%
0.1332572339 1
9.1%
-0.1795104627 1
9.1%

monthprtcnt
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06657815778
Minimum-2.701835134
Maximum1.335655897
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:48:30.795865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.701835134
5-th percentile-2.264654744
Q1-0.09537851942
median0.1146215092
Q30.6588675159
95-th percentile1.171654695
Maximum1.335655897
Range4.037491031
Interquartile range (IQR)0.7542460353

Descriptive statistics

Standard deviation1.199041053
Coefficient of variation (CV)-18.00952584
Kurtosis1.482701453
Mean-0.06657815778
Median Absolute Deviation (MAD)0.4251587498
Skewness-1.340317871
Sum-0.7323597355
Variance1.437699447
MonotonicityNot monotonic
2025-03-30T10:48:31.193331image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.335655897 1
9.1%
-0.02728993964 1
9.1%
0.2393308004 1
9.1%
-0.1166299324 1
9.1%
0.1146215092 1
9.1%
1.007653493 1
9.1%
0.7779547728 1
9.1%
0.539780259 1
9.1%
-0.07412710643 1
9.1%
-1.827474354 1
9.1%
ValueCountFrequency (%)
-2.701835134 1
9.1%
-1.827474354 1
9.1%
-0.1166299324 1
9.1%
-0.07412710643 1
9.1%
-0.02728993964 1
9.1%
ValueCountFrequency (%)
1.335655897 1
9.1%
1.007653493 1
9.1%
0.7779547728 1
9.1%
0.539780259 1
9.1%
0.2393308004 1
9.1%

monthtotret
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1796690754
Minimum-1.313861458
Maximum1.498094563
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:48:31.595335image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.313861458
5-th percentile-1.107254288
Q1-0.8504491256
median-0.1537375723
Q30.3225049447
95-th percentile1.029748306
Maximum1.498094563
Range2.811956021
Interquartile range (IQR)1.17295407

Descriptive statistics

Standard deviation0.8182555342
Coefficient of variation (CV)-4.554236906
Kurtosis0.2123815939
Mean-0.1796690754
Median Absolute Deviation (MAD)0.6480495804
Skewness0.6472193112
Sum-1.97635983
Variance0.6695421193
MonotonicityNot monotonic
2025-03-30T10:48:31.948085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.313861458 1
9.1%
-0.8017871527 1
9.1%
-0.1537375723 1
9.1%
0.5614020498 1
9.1%
-0.9006471182 1
9.1%
0.3082608406 1
9.1%
-0.5098585378 1
9.1%
-0.8991110984 1
9.1%
1.498094563 1
9.1%
-0.1018633944 1
9.1%
ValueCountFrequency (%)
-1.313861458 1
9.1%
-0.9006471182 1
9.1%
-0.8991110984 1
9.1%
-0.8017871527 1
9.1%
-0.5098585378 1
9.1%
ValueCountFrequency (%)
1.498094563 1
9.1%
0.5614020498 1
9.1%
0.3367490489 1
9.1%
0.3082608406 1
9.1%
-0.1018633944 1
9.1%

monthtotind
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2726626703
Minimum-1.660482668
Maximum3.121896897
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:48:32.306742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.660482668
5-th percentile-1.545852712
Q1-1.056913507
median-0.3895349913
Q30.06965411735
95-th percentile1.851664708
Maximum3.121896897
Range4.782379565
Interquartile range (IQR)1.126567624

Descriptive statistics

Standard deviation1.321951342
Coefficient of variation (CV)-4.848303364
Kurtosis4.226976667
Mean-0.2726626703
Median Absolute Deviation (MAD)0.6748798317
Skewness1.824634955
Sum-2.999289374
Variance1.747555351
MonotonicityNot monotonic
2025-03-30T10:48:32.710011image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3.121896897 1
9.1%
-0.3617598883 1
9.1%
-1.073535285 1
9.1%
-0.8850997082 1
9.1%
0.5814325188 1
9.1%
-0.3895349913 1
9.1%
-1.660482668 1
9.1%
0.2853448404 1
9.1%
-1.040291728 1
9.1%
-0.1460366057 1
9.1%
ValueCountFrequency (%)
-1.660482668 1
9.1%
-1.431222756 1
9.1%
-1.073535285 1
9.1%
-1.040291728 1
9.1%
-0.8850997082 1
9.1%
ValueCountFrequency (%)
3.121896897 1
9.1%
0.5814325188 1
9.1%
0.2853448404 1
9.1%
-0.1460366057 1
9.1%
-0.3617598883 1
9.1%

monthcapret
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01705552647
Minimum-1.159754447
Maximum1.367272806
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:48:33.096056image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.159754447
5-th percentile-0.9993478496
Q1-0.4134065494
median0.1344728421
Q30.3584986427
95-th percentile1.055574715
Maximum1.367272806
Range2.527027253
Interquartile range (IQR)0.771905192

Descriptive statistics

Standard deviation0.7185317794
Coefficient of variation (CV)42.12897097
Kurtosis0.08819978862
Mean0.01705552647
Median Absolute Deviation (MAD)0.4488788536
Skewness0.1648038903
Sum0.1876107912
Variance0.516287918
MonotonicityNot monotonic
2025-03-30T10:48:33.462806image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.2752212888 1
9.1%
0.7438766245 1
9.1%
-1.159754447 1
9.1%
-0.8389412521 1
9.1%
-0.3144060116 1
9.1%
-0.5124070872 1
9.1%
-0.1209618104 1
9.1%
0.1344728421 1
9.1%
0.1714618412 1
9.1%
0.4417759966 1
9.1%
ValueCountFrequency (%)
-1.159754447 1
9.1%
-0.8389412521 1
9.1%
-0.5124070872 1
9.1%
-0.3144060116 1
9.1%
-0.1209618104 1
9.1%
ValueCountFrequency (%)
1.367272806 1
9.1%
0.7438766245 1
9.1%
0.4417759966 1
9.1%
0.2752212888 1
9.1%
0.1714618412 1
9.1%

monthcapind
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3008336674
Minimum-1.145658571
Maximum2.529564505
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:48:33.833480image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.145658571
5-th percentile-1.112748862
Q1-0.4058866341
median0.2297110168
Q30.8488708524
95-th percentile1.955674201
Maximum2.529564505
Range3.675223077
Interquartile range (IQR)1.254757486

Descriptive statistics

Standard deviation1.101792593
Coefficient of variation (CV)3.662464385
Kurtosis0.2848110637
Mean0.3008336674
Median Absolute Deviation (MAD)0.8607233246
Skewness0.5412114423
Sum3.309170341
Variance1.213946917
MonotonicityNot monotonic
2025-03-30T10:48:34.207062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.7710174184 1
9.1%
0.3336790599 1
9.1%
1.090434341 1
9.1%
-1.079839154 1
9.1%
-0.04075584985 1
9.1%
-1.145658571 1
9.1%
0.1739611497 1
9.1%
0.2297110168 1
9.1%
1.381783897 1
9.1%
2.529564505 1
9.1%
ValueCountFrequency (%)
-1.145658571 1
9.1%
-1.079839154 1
9.1%
-0.7710174184 1
9.1%
-0.04075584985 1
9.1%
0.1739611497 1
9.1%
ValueCountFrequency (%)
2.529564505 1
9.1%
1.381783897 1
9.1%
1.090434341 1
9.1%
0.6073073634 1
9.1%
0.3336790599 1
9.1%

monthincret
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3987993762
Minimum-1.434465342
Maximum0.7502781442
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:48:34.604376image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.434465342
5-th percentile-1.344082736
Q1-0.8175579424
median-0.2467506621
Q3-0.02415955362
95-th percentile0.4408487441
Maximum0.7502781442
Range2.184743486
Interquartile range (IQR)0.7933983887

Descriptive statistics

Standard deviation0.6618757877
Coefficient of variation (CV)-1.659671071
Kurtosis-0.4226931864
Mean-0.3987993762
Median Absolute Deviation (MAD)0.3760682602
Skewness-0.1412629767
Sum-4.386793138
Variance0.4380795584
MonotonicityNot monotonic
2025-03-30T10:48:34.970231image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.7502781442 1
9.1%
0.131419344 1
9.1%
-0.1776367054 1
9.1%
-1.25370013 1
9.1%
-1.156535985 1
9.1%
-1.434465342 1
9.1%
-0.2467506621 1
9.1%
-0.4544609413 1
9.1%
-0.4785798999 1
9.1%
-0.1956785589 1
9.1%
ValueCountFrequency (%)
-1.434465342 1
9.1%
-1.25370013 1
9.1%
-1.156535985 1
9.1%
-0.4785798999 1
9.1%
-0.4544609413 1
9.1%
ValueCountFrequency (%)
0.7502781442 1
9.1%
0.131419344 1
9.1%
0.1293175982 1
9.1%
-0.1776367054 1
9.1%
-0.1956785589 1
9.1%

monthincind
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1510074039
Minimum-1.602676145
Maximum1.822168949
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:48:35.303363image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.602676145
5-th percentile-1.421955026
Q1-0.8871855185
median-0.3637110491
Q30.3061909939
95-th percentile1.686209311
Maximum1.822168949
Range3.424845094
Interquartile range (IQR)1.193376512

Descriptive statistics

Standard deviation1.092083652
Coefficient of variation (CV)-7.231987464
Kurtosis-0.2534205864
Mean-0.1510074039
Median Absolute Deviation (MAD)0.7127862193
Skewness0.6950925215
Sum-1.661081443
Variance1.192646704
MonotonicityNot monotonic
2025-03-30T10:48:35.690286image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.822168949 1
9.1%
-1.602676145 1
9.1%
0.2197843234 1
9.1%
-0.3637110491 1
9.1%
0.3925976645 1
9.1%
-0.6978737686 1
9.1%
-1.076497268 1
9.1%
-1.241233907 1
9.1%
1.550249673 1
9.1%
-0.06406103853 1
9.1%
ValueCountFrequency (%)
-1.602676145 1
9.1%
-1.241233907 1
9.1%
-1.076497268 1
9.1%
-0.6978737686 1
9.1%
-0.5998288765 1
9.1%
ValueCountFrequency (%)
1.822168949 1
9.1%
1.550249673 1
9.1%
0.3925976645 1
9.1%
0.2197843234 1
9.1%
-0.06406103853 1
9.1%

SPIndvwretd
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.004727833362
Minimum-2.337754833
Maximum1.488235317
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:48:36.067165image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.337754833
5-th percentile-1.458327933
Q1-0.4056173524
median0.01612929525
Q30.5118348956
95-th percentile1.350604023
Maximum1.488235317
Range3.82599015
Interquartile range (IQR)0.917452248

Descriptive statistics

Standard deviation1.023143717
Coefficient of variation (CV)-216.4085826
Kurtosis2.071763516
Mean-0.004727833362
Median Absolute Deviation (MAD)0.4306190211
Skewness-0.8477482783
Sum-0.05200616698
Variance1.046823065
MonotonicityNot monotonic
2025-03-30T10:48:36.482107image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.7528272138 1
9.1%
-0.396744979 1
9.1%
-0.4144897259 1
9.1%
0.2708425774 1
9.1%
1.488235317 1
9.1%
-2.337754833 1
9.1%
-0.1047132586 1
9.1%
0.01612929525 1
9.1%
0.03959052978 1
9.1%
1.212972729 1
9.1%
ValueCountFrequency (%)
-2.337754833 1
9.1%
-0.5789010323 1
9.1%
-0.4144897259 1
9.1%
-0.396744979 1
9.1%
-0.1047132586 1
9.1%
ValueCountFrequency (%)
1.488235317 1
9.1%
1.212972729 1
9.1%
0.7528272138 1
9.1%
0.2708425774 1
9.1%
0.03959052978 1
9.1%

SPIndvwretx
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06392096578
Minimum-1.669289347
Maximum2.226018886
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:48:36.893163image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.669289347
5-th percentile-1.398956172
Q1-0.5393244814
median-0.09528534715
Q30.3394152835
95-th percentile1.389293138
Maximum2.226018886
Range3.895308233
Interquartile range (IQR)0.8787397649

Descriptive statistics

Standard deviation1.014590672
Coefficient of variation (CV)-15.87258045
Kurtosis2.023240126
Mean-0.06392096578
Median Absolute Deviation (MAD)0.4690537752
Skewness0.7914653554
Sum-0.7031306236
Variance1.029394232
MonotonicityNot monotonic
2025-03-30T10:48:37.751016image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.366731548 1
9.1%
0.305062139 1
9.1%
-1.128622997 1
9.1%
2.226018886 1
9.1%
-0.6582902413 1
9.1%
-1.669289347 1
9.1%
0.5525673907 1
9.1%
-0.09528534715 1
9.1%
-0.4203587215 1
9.1%
0.3737684281 1
9.1%
ValueCountFrequency (%)
-1.669289347 1
9.1%
-1.128622997 1
9.1%
-0.6582902413 1
9.1%
-0.4203587215 1
9.1%
-0.366731548 1
9.1%
ValueCountFrequency (%)
2.226018886 1
9.1%
0.5525673907 1
9.1%
0.3737684281 1
9.1%
0.305062139 1
9.1%
0.1780307347 1
9.1%

SPIndewretd
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08949774241
Minimum-0.9784562534
Maximum1.194922135
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:48:38.158393image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9784562534
5-th percentile-0.7593546284
Q1-0.1988337032
median0.1178845061
Q30.3039857009
95-th percentile1.032998932
Maximum1.194922135
Range2.173378388
Interquartile range (IQR)0.5028194041

Descriptive statistics

Standard deviation0.606375399
Coefficient of variation (CV)6.775315026
Kurtosis0.3729267004
Mean0.08949774241
Median Absolute Deviation (MAD)0.2542228531
Skewness0.1766923821
Sum0.9844751665
Variance0.3676911245
MonotonicityNot monotonic
2025-03-30T10:48:38.547157image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.194922135 1
9.1%
-0.5402530033 1
9.1%
0.3278611408 1
9.1%
0.1895638564 1
9.1%
0.1178845061 1
9.1%
-0.08056579831 1
9.1%
0.280110261 1
9.1%
0.8710757288 1
9.1%
-0.9784562534 1
9.1%
-0.136338347 1
9.1%
ValueCountFrequency (%)
-0.9784562534 1
9.1%
-0.5402530033 1
9.1%
-0.2613290595 1
9.1%
-0.136338347 1
9.1%
-0.08056579831 1
9.1%
ValueCountFrequency (%)
1.194922135 1
9.1%
0.8710757288 1
9.1%
0.3278611408 1
9.1%
0.280110261 1
9.1%
0.1895638564 1
9.1%

SPIndewretx
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1652496248
Minimum-1.859779553
Maximum1.541672812
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:48:38.890725image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.859779553
5-th percentile-1.762335987
Q1-0.5012725046
median0.3986951836
Q30.9655756499
95-th percentile1.386943384
Maximum1.541672812
Range3.401452365
Interquartile range (IQR)1.466848154

Descriptive statistics

Standard deviation1.170191783
Coefficient of variation (CV)7.081358187
Kurtosis-0.6797181362
Mean0.1652496248
Median Absolute Deviation (MAD)0.6206907933
Skewness-0.8114987646
Sum1.817745872
Variance1.369348809
MonotonicityNot monotonic
2025-03-30T10:48:39.270711image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.859779553 1
9.1%
0.880714388 1
9.1%
1.019385977 1
9.1%
-0.9652326009 1
9.1%
1.541672812 1
9.1%
0.3986951836 1
9.1%
0.3605152149 1
9.1%
1.232213956 1
9.1%
-1.66489242 1
9.1%
0.9117653228 1
9.1%
ValueCountFrequency (%)
-1.859779553 1
9.1%
-1.66489242 1
9.1%
-0.9652326009 1
9.1%
-0.03731240825 1
9.1%
0.3605152149 1
9.1%
ValueCountFrequency (%)
1.541672812 1
9.1%
1.232213956 1
9.1%
1.019385977 1
9.1%
0.9117653228 1
9.1%
0.880714388 1
9.1%

SPIndtotval
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1828708428
Minimum-1.346369913
Maximum1.270416461
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:48:39.678542image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.346369913
5-th percentile-1.20457337
Q1-0.6113249856
median-0.3627565328
Q30.3256571067
95-th percentile1.104366088
Maximum1.270416461
Range2.616786374
Interquartile range (IQR)0.9369820923

Descriptive statistics

Standard deviation0.8150342226
Coefficient of variation (CV)-4.456884489
Kurtosis-0.5077015145
Mean-0.1828708428
Median Absolute Deviation (MAD)0.5055048688
Skewness0.5335991758
Sum-2.011579271
Variance0.6642807841
MonotonicityNot monotonic
2025-03-30T10:48:40.075193image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.346369913 1
9.1%
-0.3264538891 1
9.1%
1.270416461 1
9.1%
0.938315716 1
9.1%
-0.5506185266 1
9.1%
-0.6673076674 1
9.1%
0.5085658774 1
9.1%
-1.062776827 1
9.1%
-0.5553423039 1
9.1%
-0.3627565328 1
9.1%
ValueCountFrequency (%)
-1.346369913 1
9.1%
-1.062776827 1
9.1%
-0.6673076674 1
9.1%
-0.5553423039 1
9.1%
-0.5506185266 1
9.1%
ValueCountFrequency (%)
1.270416461 1
9.1%
0.938315716 1
9.1%
0.5085658774 1
9.1%
0.142748336 1
9.1%
-0.3264538891 1
9.1%

SPIndtotcnt
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3306018746
Minimum-0.3914799501
Maximum0.7851252207
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)27.3%
Memory size176.0 B
2025-03-30T10:48:40.443693image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.3914799501
5-th percentile-0.297082176
Q10.06828550588
median0.4631352742
Q30.6543769382
95-th percentile0.7672455815
Maximum0.7851252207
Range1.176605171
Interquartile range (IQR)0.5860914323

Descriptive statistics

Standard deviation0.4054148929
Coefficient of variation (CV)1.226293388
Kurtosis-0.8399371304
Mean0.3306018746
Median Absolute Deviation (MAD)0.2358850343
Skewness-0.6815569436
Sum3.636620621
Variance0.1643612354
MonotonicityNot monotonic
2025-03-30T10:48:40.866931image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.7493659423 1
9.1%
0.6097335678 1
9.1%
0.7851252207 1
9.1%
-0.3914799501 1
9.1%
0.6990203086 1
9.1%
0.475271474 1
9.1%
-0.2026844018 1
9.1%
0.4631352742 1
9.1%
0.3125621735 1
9.1%
0.2496344758 1
9.1%
ValueCountFrequency (%)
-0.3914799501 1
9.1%
-0.2026844018 1
9.1%
-0.113063464 1
9.1%
0.2496344758 1
9.1%
0.3125621735 1
9.1%
ValueCountFrequency (%)
0.7851252207 1
9.1%
0.7493659423 1
9.1%
0.6990203086 1
9.1%
0.6097335678 1
9.1%
0.475271474 1
9.1%

SPIndusdval
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02694917143
Minimum-1.699497429
Maximum1.662010396
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:48:41.241484image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.699497429
5-th percentile-1.24022631
Q1-0.5246517646
median-0.2083391541
Q30.6393571772
95-th percentile1.451701364
Maximum1.662010396
Range3.361507825
Interquartile range (IQR)1.164008942

Descriptive statistics

Standard deviation0.9862400872
Coefficient of variation (CV)36.59630463
Kurtosis-0.267221868
Mean0.02694917143
Median Absolute Deviation (MAD)0.4627362728
Skewness0.1532303743
Sum0.2964408857
Variance0.9726695096
MonotonicityNot monotonic
2025-03-30T10:48:41.624359image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.2810676379 1
9.1%
-0.7809551919 1
9.1%
-0.2083391541 1
9.1%
-0.6710754269 1
9.1%
1.07638754 1
9.1%
1.241392331 1
9.1%
0.2023268149 1
9.1%
-0.3782281024 1
9.1%
1.662010396 1
9.1%
-1.699497429 1
9.1%
ValueCountFrequency (%)
-1.699497429 1
9.1%
-0.7809551919 1
9.1%
-0.6710754269 1
9.1%
-0.3782281024 1
9.1%
-0.2810676379 1
9.1%
ValueCountFrequency (%)
1.662010396 1
9.1%
1.241392331 1
9.1%
1.07638754 1
9.1%
0.2023268149 1
9.1%
0.1334867454 1
9.1%

SPIndusdcnt
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5377642805
Minimum-0.6334779924
Maximum1.747687464
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:48:42.026244image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.6334779924
5-th percentile-0.4343021625
Q1-0.1207846726
median0.4593904163
Q31.091074799
95-th percentile1.676976112
Maximum1.747687464
Range2.381165457
Interquartile range (IQR)1.211859472

Descriptive statistics

Standard deviation0.7890607464
Coefficient of variation (CV)1.467298545
Kurtosis-1.198672025
Mean0.5377642805
Median Absolute Deviation (MAD)0.6281125945
Skewness0.1670450275
Sum5.915407085
Variance0.6226168615
MonotonicityNot monotonic
2025-03-30T10:48:42.401851image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.4593904163 1
9.1%
0.2330926525 1
9.1%
-0.1687221782 1
9.1%
-0.2351263325 1
9.1%
1.747687464 1
9.1%
-0.6334779924 1
9.1%
0.7969958637 1
9.1%
-0.07284716705 1
9.1%
1.60626476 1
9.1%
1.112870141 1
9.1%
ValueCountFrequency (%)
-0.6334779924 1
9.1%
-0.2351263325 1
9.1%
-0.1687221782 1
9.1%
-0.07284716705 1
9.1%
0.2330926525 1
9.1%
ValueCountFrequency (%)
1.747687464 1
9.1%
1.60626476 1
9.1%
1.112870141 1
9.1%
1.069279458 1
9.1%
0.7969958637 1
9.1%

SPIndspindx
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3196809426
Minimum-0.8960315638
Maximum2.102436677
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:48:42.769215image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8960315638
5-th percentile-0.7647526747
Q1-0.4003014832
median-0.004258987239
Q30.9250471178
95-th percentile1.887009814
Maximum2.102436677
Range2.998468241
Interquartile range (IQR)1.325348601

Descriptive statistics

Standard deviation0.9962118371
Coefficient of variation (CV)3.116269081
Kurtosis-0.7541913795
Mean0.3196809426
Median Absolute Deviation (MAD)0.5623082073
Skewness0.6840064653
Sum3.516490368
Variance0.9924380244
MonotonicityNot monotonic
2025-03-30T10:48:43.160786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.1754488297 1
9.1%
1.671582951 1
9.1%
-0.004258987239 1
9.1%
0.5066040275 1
9.1%
-0.5665671945 1
9.1%
1.343490208 1
9.1%
2.102436677 1
9.1%
-0.6334737856 1
9.1%
0.4021926374 1
9.1%
-0.234035772 1
9.1%
ValueCountFrequency (%)
-0.8960315638 1
9.1%
-0.6334737856 1
9.1%
-0.5665671945 1
9.1%
-0.234035772 1
9.1%
-0.1754488297 1
9.1%
ValueCountFrequency (%)
2.102436677 1
9.1%
1.671582951 1
9.1%
1.343490208 1
9.1%
0.5066040275 1
9.1%
0.4021926374 1
9.1%

SPIndsprtrn
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2170369788
Minimum-1.514924275
Maximum1.750610751
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:48:43.520759image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.514924275
5-th percentile-1.328631978
Q1-0.2198410278
median0.4114483276
Q30.691681377
95-th percentile1.520412282
Maximum1.750610751
Range3.265535027
Interquartile range (IQR)0.9115224048

Descriptive statistics

Standard deviation0.9685902586
Coefficient of variation (CV)4.462789078
Kurtosis-0.08555546414
Mean0.2170369788
Median Absolute Deviation (MAD)0.4392758722
Skewness-0.3816929876
Sum2.387406767
Variance0.938167089
MonotonicityNot monotonic
2025-03-30T10:48:43.915920image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.02782754463 1
9.1%
0.5471416751 1
9.1%
0.219796735 1
9.1%
0.8362210789 1
9.1%
0.4289203982 1
9.1%
-1.514924275 1
9.1%
-0.411854511 1
9.1%
1.750610751 1
9.1%
1.290213812 1
9.1%
-1.14233968 1
9.1%
ValueCountFrequency (%)
-1.514924275 1
9.1%
-1.14233968 1
9.1%
-0.411854511 1
9.1%
-0.02782754463 1
9.1%
0.219796735 1
9.1%
ValueCountFrequency (%)
1.750610751 1
9.1%
1.290213812 1
9.1%
0.8362210789 1
9.1%
0.5471416751 1
9.1%
0.4289203982 1
9.1%

SPporvwretd
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3344700775
Minimum-2.556317867
Maximum1.104494985
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:48:44.324389image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.556317867
5-th percentile-2.363589719
Q1-0.8746973771
median-0.1589695393
Q30.6423016985
95-th percentile1.02026532
Maximum1.104494985
Range3.660812853
Interquartile range (IQR)1.516999076

Descriptive statistics

Standard deviation1.212161102
Coefficient of variation (CV)-3.624124199
Kurtosis-0.3205572099
Mean-0.3344700775
Median Absolute Deviation (MAD)0.8113072447
Skewness-0.7053127493
Sum-3.679170853
Variance1.469334537
MonotonicityNot monotonic
2025-03-30T10:48:44.765887image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.9360356545 1
9.1%
0.875876462 1
9.1%
-0.7791179704 1
9.1%
-0.1369349886 1
9.1%
-2.556317867 1
9.1%
-0.2318261692 1
9.1%
-0.1589695393 1
9.1%
-0.9702767839 1
9.1%
1.104494985 1
9.1%
-2.170861571 1
9.1%
ValueCountFrequency (%)
-2.556317867 1
9.1%
-2.170861571 1
9.1%
-0.9702767839 1
9.1%
-0.7791179704 1
9.1%
-0.2318261692 1
9.1%
ValueCountFrequency (%)
1.104494985 1
9.1%
0.9360356545 1
9.1%
0.875876462 1
9.1%
0.408726935 1
9.1%
-0.1369349886 1
9.1%

SPporvwretx
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1792873201
Minimum-0.5318893575
Maximum1.392164005
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:48:45.189904image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.5318893575
5-th percentile-0.4870221639
Q1-0.2652732803
median-0.01796428846
Q30.5521162303
95-th percentile1.039814647
Maximum1.392164005
Range1.924053363
Interquartile range (IQR)0.8173895105

Descriptive statistics

Standard deviation0.5868611025
Coefficient of variation (CV)3.27329954
Kurtosis0.1172240716
Mean0.1792873201
Median Absolute Deviation (MAD)0.4241906818
Skewness0.7380833964
Sum1.972160522
Variance0.3444059536
MonotonicityNot monotonic
2025-03-30T10:48:45.599002image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.4421549702 1
9.1%
-0.01796428846 1
9.1%
-0.3308801344 1
9.1%
0.5150546264 1
9.1%
1.392164005 1
9.1%
-0.0660549989 1
9.1%
-0.1996664261 1
9.1%
0.6874652898 1
9.1%
-0.5318893575 1
9.1%
0.5891778342 1
9.1%
ValueCountFrequency (%)
-0.5318893575 1
9.1%
-0.4421549702 1
9.1%
-0.3308801344 1
9.1%
-0.1996664261 1
9.1%
-0.0660549989 1
9.1%
ValueCountFrequency (%)
1.392164005 1
9.1%
0.6874652898 1
9.1%
0.5891778342 1
9.1%
0.5150546264 1
9.1%
0.3769089416 1
9.1%

SPporewretd
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1368431962
Minimum-1.803966641
Maximum0.9591329303
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:48:45.986482image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.803966641
5-th percentile-1.364131182
Q1-0.4574500908
median0.1437694823
Q30.2571657236
95-th percentile0.7493937628
Maximum0.9591329303
Range2.763099571
Interquartile range (IQR)0.7146158144

Descriptive statistics

Standard deviation0.7595163104
Coefficient of variation (CV)-5.550267249
Kurtosis1.264157413
Mean-0.1368431962
Median Absolute Deviation (MAD)0.3958851129
Skewness-0.9413794363
Sum-1.505275159
Variance0.5768650257
MonotonicityNot monotonic
2025-03-30T10:48:46.351002image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.1437694823 1
9.1%
-0.4842268815 1
9.1%
-0.4306733002 1
9.1%
0.3301986742 1
9.1%
0.9591329303 1
9.1%
0.1790654293 1
9.1%
0.5396545953 1
9.1%
-0.9242957232 1
9.1%
0.184132773 1
9.1%
-1.803966641 1
9.1%
ValueCountFrequency (%)
-1.803966641 1
9.1%
-0.9242957232 1
9.1%
-0.4842268815 1
9.1%
-0.4306733002 1
9.1%
-0.1980664975 1
9.1%
ValueCountFrequency (%)
0.9591329303 1
9.1%
0.5396545953 1
9.1%
0.3301986742 1
9.1%
0.184132773 1
9.1%
0.1790654293 1
9.1%

SPporewretx
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2441404992
Minimum-1.197397712
Maximum1.458639449
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)27.3%
Memory size176.0 B
2025-03-30T10:48:46.755700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.197397712
5-th percentile-0.9937292925
Q1-0.2118051301
median0.2990550748
Q30.7002507523
95-th percentile1.382133105
Maximum1.458639449
Range2.656037161
Interquartile range (IQR)0.9120558824

Descriptive statistics

Standard deviation0.8214680435
Coefficient of variation (CV)3.364734839
Kurtosis-0.4403813514
Mean0.2441404992
Median Absolute Deviation (MAD)0.4605411161
Skewness-0.2803894725
Sum2.685545492
Variance0.6748097464
MonotonicityNot monotonic
2025-03-30T10:48:47.155593image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.2990550748 1
9.1%
0.4169720741 1
9.1%
1.305626762 1
9.1%
1.458639449 1
9.1%
-0.4629561026 1
9.1%
0.03934584246 1
9.1%
0.7595961909 1
9.1%
0.2158194732 1
9.1%
-1.197397712 1
9.1%
0.6409053138 1
9.1%
ValueCountFrequency (%)
-1.197397712 1
9.1%
-0.7900608726 1
9.1%
-0.4629561026 1
9.1%
0.03934584246 1
9.1%
0.2158194732 1
9.1%
ValueCountFrequency (%)
1.458639449 1
9.1%
1.305626762 1
9.1%
0.7595961909 1
9.1%
0.6409053138 1
9.1%
0.4169720741 1
9.1%

SPportotval
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5319520172
Minimum-2.774220176
Maximum0.981780947
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:48:47.537333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.774220176
5-th percentile-2.32665818
Q1-1.495248191
median-0.1506835586
Q30.4202746641
95-th percentile0.8351945003
Maximum0.981780947
Range3.756001123
Interquartile range (IQR)1.915522855

Descriptive statistics

Standard deviation1.220015459
Coefficient of variation (CV)-2.293468997
Kurtosis-0.8165767708
Mean-0.5319520172
Median Absolute Deviation (MAD)0.8392916123
Skewness-0.5467611679
Sum-5.851472189
Variance1.488437721
MonotonicityNot monotonic
2025-03-30T10:48:47.940772image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.1756203082 1
9.1%
0.981780947 1
9.1%
-0.553574507 1
9.1%
0.6649290199 1
9.1%
-1.879096183 1
9.1%
-1.665309079 1
9.1%
-1.325187304 1
9.1%
-2.774220176 1
9.1%
-0.01433970997 1
9.1%
0.6886080537 1
9.1%
ValueCountFrequency (%)
-2.774220176 1
9.1%
-1.879096183 1
9.1%
-1.665309079 1
9.1%
-1.325187304 1
9.1%
-0.553574507 1
9.1%
ValueCountFrequency (%)
0.981780947 1
9.1%
0.6886080537 1
9.1%
0.6649290199 1
9.1%
0.1756203082 1
9.1%
-0.01433970997 1
9.1%

SPportotcnt
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1620914156
Minimum-1.338529671
Maximum1.728681576
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:48:48.323775image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.338529671
5-th percentile-1.157933615
Q1-0.5811586446
median0.1825159966
Q30.8094759277
95-th percentile1.600293987
Maximum1.728681576
Range3.067211247
Interquartile range (IQR)1.390634572

Descriptive statistics

Standard deviation0.9926749281
Coefficient of variation (CV)6.124167183
Kurtosis-0.9253441803
Mean0.1620914156
Median Absolute Deviation (MAD)0.781899009
Skewness0.1007313472
Sum1.783005572
Variance0.9854035129
MonotonicityNot monotonic
2025-03-30T10:48:48.683202image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.728681576 1
9.1%
0.6545368498 1
9.1%
-0.8124514502 1
9.1%
0.000221516397 1
9.1%
0.9644150056 1
9.1%
-0.9773375592 1
9.1%
-1.338529671 1
9.1%
1.471906399 1
9.1%
0.2589127475 1
9.1%
0.1825159966 1
9.1%
ValueCountFrequency (%)
-1.338529671 1
9.1%
-0.9773375592 1
9.1%
-0.8124514502 1
9.1%
-0.349865839 1
9.1%
0.000221516397 1
9.1%
ValueCountFrequency (%)
1.728681576 1
9.1%
1.471906399 1
9.1%
0.9644150056 1
9.1%
0.6545368498 1
9.1%
0.2589127475 1
9.1%

SPporusdval
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0008323036846
Minimum-1.144149144
Maximum1.019949483
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:48:49.088500image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.144149144
5-th percentile-1.031268817
Q1-0.4187988254
median0.02696115619
Q30.4380432309
95-th percentile1.018289579
Maximum1.019949483
Range2.164098628
Interquartile range (IQR)0.8568420563

Descriptive statistics

Standard deviation0.7128687983
Coefficient of variation (CV)856.5008319
Kurtosis-0.7828319928
Mean0.0008323036846
Median Absolute Deviation (MAD)0.4677640243
Skewness-0.06741683059
Sum0.009155340531
Variance0.5081819235
MonotonicityNot monotonic
2025-03-30T10:48:49.471529image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.016629675 1
9.1%
-0.2038231251 1
9.1%
-0.9183884887 1
9.1%
-1.144149144 1
9.1%
0.4947251805 1
9.1%
0.3813612814 1
9.1%
0.02696115619 1
9.1%
0.1734869732 1
9.1%
1.019949483 1
9.1%
-0.2736497877 1
9.1%
ValueCountFrequency (%)
-1.144149144 1
9.1%
-0.9183884887 1
9.1%
-0.5639478631 1
9.1%
-0.2736497877 1
9.1%
-0.2038231251 1
9.1%
ValueCountFrequency (%)
1.019949483 1
9.1%
1.016629675 1
9.1%
0.4947251805 1
9.1%
0.3813612814 1
9.1%
0.1734869732 1
9.1%

SPporusdcnt
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1426435294
Minimum-1.204593648
Maximum2.020359535
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:48:49.847902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.204593648
5-th percentile-1.135405184
Q1-0.7711939174
median0.04595939612
Q30.9655010585
95-th percentile1.669232448
Maximum2.020359535
Range3.224953183
Interquartile range (IQR)1.736694976

Descriptive statistics

Standard deviation1.064122761
Coefficient of variation (CV)7.460014241
Kurtosis-0.964085724
Mean0.1426435294
Median Absolute Deviation (MAD)0.9320411281
Skewness0.34904528
Sum1.569078824
Variance1.132357251
MonotonicityNot monotonic
2025-03-30T10:48:50.261765image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.31810536 1
9.1%
0.1323476995 1
9.1%
0.04595939612 1
9.1%
-1.204593648 1
9.1%
0.9530015928 1
9.1%
-0.06549708084 1
9.1%
-1.066216721 1
9.1%
-0.9475144737 1
9.1%
0.9780005242 1
9.1%
2.020359535 1
9.1%
ValueCountFrequency (%)
-1.204593648 1
9.1%
-1.066216721 1
9.1%
-0.9475144737 1
9.1%
-0.5948733612 1
9.1%
-0.06549708084 1
9.1%
ValueCountFrequency (%)
2.020359535 1
9.1%
1.31810536 1
9.1%
0.9780005242 1
9.1%
0.9530015928 1
9.1%
0.1323476995 1
9.1%

SPporspindx
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2084850464
Minimum-3.708796609
Maximum1.990676017
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:48:50.646156image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.708796609
5-th percentile-2.773704693
Q1-0.7903395754
median-0.2126831702
Q30.9190135744
95-th percentile1.68823272
Maximum1.990676017
Range5.699472627
Interquartile range (IQR)1.70935315

Descriptive statistics

Standard deviation1.609700462
Coefficient of variation (CV)-7.720939654
Kurtosis1.040269924
Mean-0.2084850464
Median Absolute Deviation (MAD)1.079100756
Skewness-0.878155999
Sum-2.29333551
Variance2.591135576
MonotonicityNot monotonic
2025-03-30T10:48:51.011998image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.9716095633 1
9.1%
0.8664175855 1
9.1%
-0.6611566847 1
9.1%
-0.4922255214 1
9.1%
-3.708796609 1
9.1%
0.3251691301 1
9.1%
-1.838612776 1
9.1%
1.990676017 1
9.1%
1.385789422 1
9.1%
-0.9195224661 1
9.1%
ValueCountFrequency (%)
-3.708796609 1
9.1%
-1.838612776 1
9.1%
-0.9195224661 1
9.1%
-0.6611566847 1
9.1%
-0.4922255214 1
9.1%
ValueCountFrequency (%)
1.990676017 1
9.1%
1.385789422 1
9.1%
0.9716095633 1
9.1%
0.8664175855 1
9.1%
0.3251691301 1
9.1%

SPporsprtrn
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1142792701
Minimum-1.673452341
Maximum1.731924682
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:48:51.364206image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.673452341
5-th percentile-1.518404299
Q1-1.091664381
median-0.1659983706
Q30.6841435646
95-th percentile1.427511022
Maximum1.731924682
Range3.405377023
Interquartile range (IQR)1.775807946

Descriptive statistics

Standard deviation1.126809056
Coefficient of variation (CV)-9.860135221
Kurtosis-1.302532283
Mean-0.1142792701
Median Absolute Deviation (MAD)0.9460790928
Skewness0.149612318
Sum-1.257071971
Variance1.269698648
MonotonicityNot monotonic
2025-03-30T10:48:51.762252image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.123097361 1
9.1%
0.7800807222 1
9.1%
-0.1659983706 1
9.1%
-1.070351451 1
9.1%
0.588206407 1
9.1%
0.4771243477 1
9.1%
-1.363356258 1
9.1%
-1.112977311 1
9.1%
1.731924682 1
9.1%
-0.5713697593 1
9.1%
ValueCountFrequency (%)
-1.673452341 1
9.1%
-1.363356258 1
9.1%
-1.112977311 1
9.1%
-1.070351451 1
9.1%
-0.5713697593 1
9.1%
ValueCountFrequency (%)
1.731924682 1
9.1%
1.123097361 1
9.1%
0.7800807222 1
9.1%
0.588206407 1
9.1%
0.4771243477 1
9.1%

usind2CRSPMEV1
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6285284495
Minimum-0.395189833
Maximum1.522146759
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)27.3%
Memory size176.0 B
2025-03-30T10:48:52.170702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.395189833
5-th percentile-0.3673467373
Q10.2852706826
median0.712031721
Q30.9925084088
95-th percentile1.463658407
Maximum1.522146759
Range1.917336592
Interquartile range (IQR)0.7072377262

Descriptive statistics

Standard deviation0.6395538396
Coefficient of variation (CV)1.017541593
Kurtosis-0.6894332424
Mean0.6285284495
Median Absolute Deviation (MAD)0.31855602
Skewness-0.4403823467
Sum6.913812944
Variance0.4090291138
MonotonicityNot monotonic
2025-03-30T10:48:52.588234image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.522146759 1
9.1%
1.030587741 1
9.1%
-0.3395036415 1
9.1%
-0.395189833 1
9.1%
1.405170056 1
9.1%
0.6566942597 1
9.1%
0.7969054414 1
9.1%
0.712031721 1
9.1%
0.5714947365 1
9.1%
-0.0009533712532 1
9.1%
ValueCountFrequency (%)
-0.395189833 1
9.1%
-0.3395036415 1
9.1%
-0.0009533712532 1
9.1%
0.5714947365 1
9.1%
0.6566942597 1
9.1%
ValueCountFrequency (%)
1.522146759 1
9.1%
1.405170056 1
9.1%
1.030587741 1
9.1%
0.9544290766 1
9.1%
0.7969054414 1
9.1%

usind2CRSPMEG1
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08240727063
Minimum-2.589063935
Maximum1.633701017
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:48:52.996363image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.589063935
5-th percentile-1.888606158
Q1-0.9370737896
median0.3026979944
Q31.254730433
95-th percentile1.627270597
Maximum1.633701017
Range4.222764952
Interquartile range (IQR)2.191804222

Descriptive statistics

Standard deviation1.375273876
Coefficient of variation (CV)16.6887444
Kurtosis-0.4275773522
Mean0.08240727063
Median Absolute Deviation (MAD)1.289453184
Skewness-0.5492628986
Sum0.9064799769
Variance1.891378235
MonotonicityNot monotonic
2025-03-30T10:48:53.355443image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.5747362465 1
9.1%
-0.08359642836 1
9.1%
1.620840177 1
9.1%
-0.9867551892 1
9.1%
0.9092972263 1
9.1%
0.3026979944 1
9.1%
-2.589063935 1
9.1%
-0.8873923901 1
9.1%
1.600163639 1
9.1%
-1.188148381 1
9.1%
ValueCountFrequency (%)
-2.589063935 1
9.1%
-1.188148381 1
9.1%
-0.9867551892 1
9.1%
-0.8873923901 1
9.1%
-0.08359642836 1
9.1%
ValueCountFrequency (%)
1.633701017 1
9.1%
1.620840177 1
9.1%
1.600163639 1
9.1%
0.9092972263 1
9.1%
0.5747362465 1
9.1%

usind2CRSPLCV1
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1017926622
Minimum-1.821920549
Maximum1.261013977
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:48:53.699293image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.821920549
5-th percentile-1.635948074
Q1-0.2090137028
median0.3085459026
Q30.7484376931
95-th percentile1.195334263
Maximum1.261013977
Range3.082934526
Interquartile range (IQR)0.9574513959

Descriptive statistics

Standard deviation0.9912835148
Coefficient of variation (CV)9.738261021
Kurtosis0.1789160599
Mean0.1017926622
Median Absolute Deviation (MAD)0.5289628301
Skewness-0.950903009
Sum1.119719284
Variance0.9826430068
MonotonicityNot monotonic
2025-03-30T10:48:54.055079image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.6456296045 1
9.1%
0.5711580368 1
9.1%
-1.821920549 1
9.1%
-1.449975598 1
9.1%
-0.197610478 1
9.1%
0.3085459026 1
9.1%
1.129654549 1
9.1%
0.8512457817 1
9.1%
0.04239498674 1
9.1%
-0.2204169275 1
9.1%
ValueCountFrequency (%)
-1.821920549 1
9.1%
-1.449975598 1
9.1%
-0.2204169275 1
9.1%
-0.197610478 1
9.1%
0.04239498674 1
9.1%
ValueCountFrequency (%)
1.261013977 1
9.1%
1.129654549 1
9.1%
0.8512457817 1
9.1%
0.6456296045 1
9.1%
0.5711580368 1
9.1%

usind2CRSPLCG1
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07724213431
Minimum-1.216607232
Maximum1.393168637
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:48:54.443832image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.216607232
5-th percentile-1.090904562
Q1-0.3552682037
median0.05332166843
Q30.6601619935
95-th percentile1.179074094
Maximum1.393168637
Range2.609775869
Interquartile range (IQR)1.015430197

Descriptive statistics

Standard deviation0.8028612034
Coefficient of variation (CV)10.39408362
Kurtosis-0.637385797
Mean0.07724213431
Median Absolute Deviation (MAD)0.5494142921
Skewness-0.02509296115
Sum0.8496634774
Variance0.6445861119
MonotonicityNot monotonic
2025-03-30T10:48:54.850172image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.393168637 1
9.1%
0.05332166843 1
9.1%
0.5528239481 1
9.1%
-1.216607232 1
9.1%
0.9649795505 1
9.1%
-0.4960926237 1
9.1%
-0.2144437838 1
9.1%
-0.1326942215 1
9.1%
0.1429093876 1
9.1%
0.767500039 1
9.1%
ValueCountFrequency (%)
-1.216607232 1
9.1%
-0.9652018927 1
9.1%
-0.4960926237 1
9.1%
-0.2144437838 1
9.1%
-0.1326942215 1
9.1%
ValueCountFrequency (%)
1.393168637 1
9.1%
0.9649795505 1
9.1%
0.767500039 1
9.1%
0.5528239481 1
9.1%
0.1429093876 1
9.1%

usind2CRSPMIV1
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04569486894
Minimum-0.8797974329
Maximum1.553958909
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:48:55.228573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8797974329
5-th percentile-0.7532208771
Q1-0.3674494132
median-0.07851530084
Q30.2031290971
95-th percentile1.330411249
Maximum1.553958909
Range2.433756342
Interquartile range (IQR)0.5705785102

Descriptive statistics

Standard deviation0.7253157809
Coefficient of variation (CV)15.87302465
Kurtosis0.7840867932
Mean0.04569486894
Median Absolute Deviation (MAD)0.38501633
Skewness1.08177993
Sum0.5026435583
Variance0.526082982
MonotonicityNot monotonic
2025-03-30T10:48:55.635917image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.04197843338 1
9.1%
-0.07851530084 1
9.1%
-0.6266443213 1
9.1%
-0.8797974329 1
9.1%
-0.2174163855 1
9.1%
-0.2713671955 1
9.1%
-0.4635316308 1
9.1%
1.553958909 1
9.1%
0.3642797608 1
9.1%
1.106863589 1
9.1%
ValueCountFrequency (%)
-0.8797974329 1
9.1%
-0.6266443213 1
9.1%
-0.4635316308 1
9.1%
-0.2713671955 1
9.1%
-0.2174163855 1
9.1%
ValueCountFrequency (%)
1.553958909 1
9.1%
1.106863589 1
9.1%
0.3642797608 1
9.1%
0.04197843338 1
9.1%
-0.02716486713 1
9.1%

usind2CRSPMIG1
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1598570329
Minimum-1.284693701
Maximum2.100048159
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:48:56.003937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.284693701
5-th percentile-1.190369599
Q1-0.841832023
median-0.07775693294
Q31.160125225
95-th percentile2.098729114
Maximum2.100048159
Range3.38474186
Interquartile range (IQR)2.001957248

Descriptive statistics

Standard deviation1.322010245
Coefficient of variation (CV)8.269953601
Kurtosis-1.149644671
Mean0.1598570329
Median Absolute Deviation (MAD)0.8085625574
Skewness0.7293323033
Sum1.758427362
Variance1.747711087
MonotonicityNot monotonic
2025-03-30T10:48:56.398317image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2.097410068 1
9.1%
-1.096045496 1
9.1%
0.01444794335 1
9.1%
-0.07775693294 1
9.1%
-1.284693701 1
9.1%
2.100048159 1
9.1%
-0.8863194904 1
9.1%
0.2716189195 1
9.1%
-0.7973445556 1
9.1%
2.048631531 1
9.1%
ValueCountFrequency (%)
-1.284693701 1
9.1%
-1.096045496 1
9.1%
-0.8863194904 1
9.1%
-0.7973445556 1
9.1%
-0.6315690825 1
9.1%
ValueCountFrequency (%)
2.100048159 1
9.1%
2.097410068 1
9.1%
2.048631531 1
9.1%
0.2716189195 1
9.1%
0.01444794335 1
9.1%

usind2CRSPSCV1
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02677699478
Minimum-0.8566605509
Maximum1.354329897
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:48:56.794479image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8566605509
5-th percentile-0.8089118961
Q1-0.6272287964
median0.1103213631
Q30.3240347996
95-th percentile1.288339482
Maximum1.354329897
Range2.210990448
Interquartile range (IQR)0.951263596

Descriptive statistics

Standard deviation0.7629728533
Coefficient of variation (CV)28.49359533
Kurtosis-0.5870586122
Mean0.02677699478
Median Absolute Deviation (MAD)0.6433296127
Skewness0.6479649459
Sum0.2945469425
Variance0.5821275748
MonotonicityNot monotonic
2025-03-30T10:48:57.181850image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.1201202827 1
9.1%
-0.8566605509 1
9.1%
1.354329897 1
9.1%
0.1462104087 1
9.1%
-0.7611632413 1
9.1%
-0.2883618812 1
9.1%
0.5018591904 1
9.1%
0.1103213631 1
9.1%
-0.7214493432 1
9.1%
-0.5330082496 1
9.1%
ValueCountFrequency (%)
-0.8566605509 1
9.1%
-0.7611632413 1
9.1%
-0.7214493432 1
9.1%
-0.5330082496 1
9.1%
-0.2883618812 1
9.1%
ValueCountFrequency (%)
1.354329897 1
9.1%
1.222349067 1
9.1%
0.5018591904 1
9.1%
0.1462104087 1
9.1%
0.1201202827 1
9.1%

usind2CRSPSCG1
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1861623061
Minimum-1.185855775
Maximum2.118975147
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:48:57.543383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.185855775
5-th percentile-1.162746447
Q1-1.030515589
median-0.2082831998
Q30.1589421132
95-th percentile1.367860299
Maximum2.118975147
Range3.304830922
Interquartile range (IQR)1.189457702

Descriptive statistics

Standard deviation0.9850354072
Coefficient of variation (CV)-5.29127205
Kurtosis1.975568251
Mean-0.1861623061
Median Absolute Deviation (MAD)0.803794243
Skewness1.246326368
Sum-2.047785368
Variance0.9702947535
MonotonicityNot monotonic
2025-03-30T10:48:57.926419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2.118975147 1
9.1%
0.02943565757 1
9.1%
-0.2082831998 1
9.1%
-1.139637119 1
9.1%
0.1271889388 1
9.1%
0.1906952877 1
9.1%
-1.048953735 1
9.1%
-1.185855775 1
9.1%
-0.5360185788 1
9.1%
-1.012077443 1
9.1%
ValueCountFrequency (%)
-1.185855775 1
9.1%
-1.139637119 1
9.1%
-1.048953735 1
9.1%
-1.012077443 1
9.1%
-0.5360185788 1
9.1%
ValueCountFrequency (%)
2.118975147 1
9.1%
0.616745452 1
9.1%
0.1906952877 1
9.1%
0.1271889388 1
9.1%
0.02943565757 1
9.1%

usind2CRSPMEVT
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07338499878
Minimum-1.660390467
Maximum1.95921036
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:48:58.307873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.660390467
5-th percentile-1.316113828
Q1-0.7140691549
median-0.09365776143
Q30.1833053513
95-th percentile1.555971376
Maximum1.95921036
Range3.619600827
Interquartile range (IQR)0.8973745062

Descriptive statistics

Standard deviation1.001302587
Coefficient of variation (CV)-13.64451323
Kurtosis0.7270232191
Mean-0.07338499878
Median Absolute Deviation (MAD)0.4405381658
Skewness0.5969705405
Sum-0.8072349866
Variance1.00260687
MonotonicityNot monotonic
2025-03-30T10:48:58.705906image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.09365776143 1
9.1%
1.95921036 1
9.1%
0.1968435202 1
9.1%
-0.2193866363 1
9.1%
-0.9718371894 1
9.1%
-0.8939423827 1
9.1%
0.08762192344 1
9.1%
1.152732391 1
9.1%
-0.5341959272 1
9.1%
0.1697671824 1
9.1%
ValueCountFrequency (%)
-1.660390467 1
9.1%
-0.9718371894 1
9.1%
-0.8939423827 1
9.1%
-0.5341959272 1
9.1%
-0.2193866363 1
9.1%
ValueCountFrequency (%)
1.95921036 1
9.1%
1.152732391 1
9.1%
0.1968435202 1
9.1%
0.1697671824 1
9.1%
0.08762192344 1
9.1%

usind2CRSPMEGT
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1511146764
Minimum-1.581817415
Maximum1.386308269
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:48:59.105861image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.581817415
5-th percentile-1.301667276
Q1-0.5212319912
median-0.4731729221
Q30.3442407732
95-th percentile1.166034061
Maximum1.386308269
Range2.968125684
Interquartile range (IQR)0.8654727644

Descriptive statistics

Standard deviation0.8589323642
Coefficient of variation (CV)-5.683977127
Kurtosis-0.1226492391
Mean-0.1511146764
Median Absolute Deviation (MAD)0.5483442137
Skewness0.2813890971
Sum-1.66226144
Variance0.7377648062
MonotonicityNot monotonic
2025-03-30T10:48:59.478058image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.386308269 1
9.1%
0.9457598534 1
9.1%
-0.5520495216 1
9.1%
0.4357323222 1
9.1%
-1.581817415 1
9.1%
-0.4731729221 1
9.1%
0.2527492242 1
9.1%
-0.07573518278 1
9.1%
-0.4881044706 1
9.1%
-1.021517136 1
9.1%
ValueCountFrequency (%)
-1.581817415 1
9.1%
-1.021517136 1
9.1%
-0.5520495216 1
9.1%
-0.4904144607 1
9.1%
-0.4881044706 1
9.1%
ValueCountFrequency (%)
1.386308269 1
9.1%
0.9457598534 1
9.1%
0.4357323222 1
9.1%
0.2527492242 1
9.1%
-0.07573518278 1
9.1%

usind2CRSPLCVT
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4395605377
Minimum-0.5010841207
Maximum1.969157212
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)27.3%
Memory size176.0 B
2025-03-30T10:48:59.884475image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.5010841207
5-th percentile-0.3861798603
Q10.04996472145
median0.2756939973
Q30.7206945176
95-th percentile1.520687198
Maximum1.969157212
Range2.470241333
Interquartile range (IQR)0.6707297962

Descriptive statistics

Standard deviation0.6882522771
Coefficient of variation (CV)1.565773581
Kurtosis1.354446414
Mean0.4395605377
Median Absolute Deviation (MAD)0.3287191653
Skewness0.959782846
Sum4.835165915
Variance0.473691197
MonotonicityNot monotonic
2025-03-30T10:49:00.282481image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.01496126494 1
9.1%
-0.2712755998 1
9.1%
0.1148907078 1
9.1%
-0.5010841207 1
9.1%
0.8369758727 1
9.1%
0.5675399942 1
9.1%
0.2756939973 1
9.1%
0.6044131626 1
9.1%
1.072217185 1
9.1%
1.969157212 1
9.1%
ValueCountFrequency (%)
-0.5010841207 1
9.1%
-0.2712755998 1
9.1%
-0.01496126494 1
9.1%
0.1148907078 1
9.1%
0.1815987691 1
9.1%
ValueCountFrequency (%)
1.969157212 1
9.1%
1.072217185 1
9.1%
0.8369758727 1
9.1%
0.6044131626 1
9.1%
0.5675399942 1
9.1%

usind2CRSPLCGT
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1455939785
Minimum-1.913116164
Maximum2.17954264
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:49:00.667186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.913116164
5-th percentile-1.841921561
Q1-1.656124855
median-0.4896951701
Q31.24154293
95-th percentile2.128978439
Maximum2.17954264
Range4.092658804
Interquartile range (IQR)2.897667785

Descriptive statistics

Standard deviation1.578217681
Coefficient of variation (CV)-10.83985545
Kurtosis-1.544790564
Mean-0.1455939785
Median Absolute Deviation (MAD)1.281031788
Skewness0.3790738473
Sum-1.601533763
Variance2.490771049
MonotonicityNot monotonic
2025-03-30T10:49:01.050768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.2492858573 1
9.1%
2.078414239 1
9.1%
-0.4896951701 1
9.1%
-1.913116164 1
9.1%
-1.623684745 1
9.1%
-1.688564965 1
9.1%
1.371387324 1
9.1%
-1.770726958 1
9.1%
-0.6075026414 1
9.1%
2.17954264 1
9.1%
ValueCountFrequency (%)
-1.913116164 1
9.1%
-1.770726958 1
9.1%
-1.688564965 1
9.1%
-1.623684745 1
9.1%
-0.6075026414 1
9.1%
ValueCountFrequency (%)
2.17954264 1
9.1%
2.078414239 1
9.1%
1.371387324 1
9.1%
1.111698536 1
9.1%
-0.2492858573 1
9.1%

usind2CRSPMIVT
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02111842958
Minimum-1.378459106
Maximum1.194231694
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:01.416214image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.378459106
5-th percentile-1.13724416
Q1-0.5084455713
median0.1538911115
Q30.514021465
95-th percentile1.101505186
Maximum1.194231694
Range2.572690801
Interquartile range (IQR)1.022467036

Descriptive statistics

Standard deviation0.7913364878
Coefficient of variation (CV)37.47136995
Kurtosis-0.5778583835
Mean0.02111842958
Median Absolute Deviation (MAD)0.6559309883
Skewness-0.2406181591
Sum0.2323027254
Variance0.626213437
MonotonicityNot monotonic
2025-03-30T10:49:01.831900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.5020398768 1
9.1%
0.5709119838 1
9.1%
0.1538911115 1
9.1%
1.008778678 1
9.1%
0.2014048666 1
9.1%
-1.378459106 1
9.1%
-0.8960292143 1
9.1%
-0.5148512657 1
9.1%
-0.06266709146 1
9.1%
1.194231694 1
9.1%
ValueCountFrequency (%)
-1.378459106 1
9.1%
-0.8960292143 1
9.1%
-0.5148512657 1
9.1%
-0.5020398768 1
9.1%
-0.06266709146 1
9.1%
ValueCountFrequency (%)
1.194231694 1
9.1%
1.008778678 1
9.1%
0.5709119838 1
9.1%
0.4571309461 1
9.1%
0.2014048666 1
9.1%

usind2CRSPMIGT
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.300380583
Minimum-2.466216789
Maximum1.373405942
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:49:02.214956image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.466216789
5-th percentile-1.896455659
Q1-0.8130798743
median-0.07938863978
Q30.167155942
95-th percentile1.164391249
Maximum1.373405942
Range3.839622731
Interquartile range (IQR)0.9802358163

Descriptive statistics

Standard deviation1.062535975
Coefficient of variation (CV)-3.537299132
Kurtosis0.6967133246
Mean-0.300380583
Median Absolute Deviation (MAD)0.6814872364
Skewness-0.4587835654
Sum-3.304186413
Variance1.128982699
MonotonicityNot monotonic
2025-03-30T10:49:02.618665image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.9553765563 1
9.1%
-2.466216789 1
9.1%
-1.32669453 1
9.1%
-0.07938863978 1
9.1%
-0.7608758762 1
9.1%
-0.8652838724 1
9.1%
-0.03912463355 1
9.1%
-0.06681647181 1
9.1%
0.3734365176 1
9.1%
-0.4020046163 1
9.1%
ValueCountFrequency (%)
-2.466216789 1
9.1%
-1.32669453 1
9.1%
-0.8652838724 1
9.1%
-0.7608758762 1
9.1%
-0.4020046163 1
9.1%
ValueCountFrequency (%)
1.373405942 1
9.1%
0.9553765563 1
9.1%
0.3734365176 1
9.1%
-0.03912463355 1
9.1%
-0.06681647181 1
9.1%

usind2CRSPSCVT
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001604240673
Minimum-1.001747433
Maximum1.495507469
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:49:03.067344image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.001747433
5-th percentile-0.951183513
Q1-0.535987715
median-0.1106364993
Q30.366288213
95-th percentile1.352192537
Maximum1.495507469
Range2.497254902
Interquartile range (IQR)0.902275928

Descriptive statistics

Standard deviation0.8234619399
Coefficient of variation (CV)513.3032429
Kurtosis-0.4490613056
Mean0.001604240673
Median Absolute Deviation (MAD)0.5592841452
Skewness0.73572951
Sum0.0176466474
Variance0.6780895665
MonotonicityNot monotonic
2025-03-30T10:49:03.457754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.6699206444 1
9.1%
-1.001747433 1
9.1%
1.495507469 1
9.1%
-0.1106364993 1
9.1%
-0.9006195932 1
9.1%
-0.01178136214 1
9.1%
-0.0337456218 1
9.1%
-0.4020547855 1
9.1%
0.7443577882 1
9.1%
1.208877604 1
9.1%
ValueCountFrequency (%)
-1.001747433 1
9.1%
-0.9006195932 1
9.1%
-0.6699206444 1
9.1%
-0.4020547855 1
9.1%
-0.3005902747 1
9.1%
ValueCountFrequency (%)
1.495507469 1
9.1%
1.208877604 1
9.1%
0.7443577882 1
9.1%
-0.01178136214 1
9.1%
-0.0337456218 1
9.1%

usind2CRSPSCGT
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01541443372
Minimum-1.073078128
Maximum0.9021075187
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:03.838899image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.073078128
5-th percentile-0.900481434
Q1-0.3958982732
median0.1746943022
Q30.2415709253
95-th percentile0.8729309952
Maximum0.9021075187
Range1.975185647
Interquartile range (IQR)0.6374691985

Descriptive statistics

Standard deviation0.614442821
Coefficient of variation (CV)-39.86152408
Kurtosis-0.5014160889
Mean-0.01541443372
Median Absolute Deviation (MAD)0.4363114733
Skewness-0.1280415234
Sum-0.1695587709
Variance0.3775399803
MonotonicityNot monotonic
2025-03-30T10:49:04.252773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.9021075187 1
9.1%
0.2482882516 1
9.1%
-0.7278847395 1
9.1%
0.234853599 1
9.1%
-0.2616171711 1
9.1%
0.8437544717 1
9.1%
0.1746943022 1
9.1%
-0.1825190696 1
9.1%
-1.073078128 1
9.1%
0.2020215698 1
9.1%
ValueCountFrequency (%)
-1.073078128 1
9.1%
-0.7278847395 1
9.1%
-0.5301793753 1
9.1%
-0.2616171711 1
9.1%
-0.1825190696 1
9.1%
ValueCountFrequency (%)
0.9021075187 1
9.1%
0.8437544717 1
9.1%
0.2482882516 1
9.1%
0.234853599 1
9.1%
0.2020215698 1
9.1%

stockvwretd
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2848865714
Minimum-1.838452991
Maximum1.082017239
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:04.670938image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.838452991
5-th percentile-1.640817107
Q1-0.9303273622
median-0.0006063508723
Q30.3590519707
95-th percentile0.8453509904
Maximum1.082017239
Range2.92047023
Interquartile range (IQR)1.289379333

Descriptive statistics

Standard deviation0.9265120488
Coefficient of variation (CV)-3.252213834
Kurtosis-0.9625518084
Mean-0.2848865714
Median Absolute Deviation (MAD)0.6092910925
Skewness-0.3380332324
Sum-3.133752285
Variance0.8584245765
MonotonicityNot monotonic
2025-03-30T10:49:05.040708image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.838452991 1
9.1%
0.1570313569 1
9.1%
1.082017239 1
9.1%
0.6086847417 1
9.1%
0.2864003762 1
9.1%
-1.443181223 1
9.1%
-0.5566942752 1
9.1%
-1.194042141 1
9.1%
-0.666612583 1
9.1%
-0.0006063508723 1
9.1%
ValueCountFrequency (%)
-1.838452991 1
9.1%
-1.443181223 1
9.1%
-1.194042141 1
9.1%
-0.666612583 1
9.1%
-0.5566942752 1
9.1%
ValueCountFrequency (%)
1.082017239 1
9.1%
0.6086847417 1
9.1%
0.4317035652 1
9.1%
0.2864003762 1
9.1%
0.1570313569 1
9.1%

stockvwretx
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03401687103
Minimum-1.59849612
Maximum1.213827871
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:05.408557image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.59849612
5-th percentile-1.596910331
Q1-0.6459446907
median0.07985094521
Q30.6651607172
95-th percentile1.135978985
Maximum1.213827871
Range2.812323991
Interquartile range (IQR)1.311105408

Descriptive statistics

Standard deviation1.009057519
Coefficient of variation (CV)-29.66344312
Kurtosis-1.006858982
Mean-0.03401687103
Median Absolute Deviation (MAD)0.5895733181
Skewness-0.5827914899
Sum-0.3741855813
Variance1.018197076
MonotonicityNot monotonic
2025-03-30T10:49:05.782099image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.59849612 1
9.1%
-1.595324541 1
9.1%
0.07985094521 1
9.1%
1.213827871 1
9.1%
-0.1486210586 1
9.1%
0.5219439647 1
9.1%
-0.09254985209 1
9.1%
0.6608971711 1
9.1%
0.6694242633 1
9.1%
-1.143268323 1
9.1%
ValueCountFrequency (%)
-1.59849612 1
9.1%
-1.595324541 1
9.1%
-1.143268323 1
9.1%
-0.1486210586 1
9.1%
-0.09254985209 1
9.1%
ValueCountFrequency (%)
1.213827871 1
9.1%
1.058130099 1
9.1%
0.6694242633 1
9.1%
0.6608971711 1
9.1%
0.5219439647 1
9.1%

stockvwTotVal
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0065929263
Minimum-1.491184741
Maximum2.329253124
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:06.149352image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.491184741
5-th percentile-1.405989342
Q1-0.72517791
median-0.08253538932
Q30.355652054
95-th percentile1.944329403
Maximum2.329253124
Range3.820437865
Interquartile range (IQR)1.080829964

Descriptive statistics

Standard deviation1.159271055
Coefficient of variation (CV)175.8355853
Kurtosis0.3055110533
Mean0.0065929263
Median Absolute Deviation (MAD)0.7520117268
Skewness0.7779852647
Sum0.0725221893
Variance1.343909379
MonotonicityNot monotonic
2025-03-30T10:49:06.566042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.559405682 1
9.1%
-0.5350366644 1
9.1%
-1.491184741 1
9.1%
-0.9153191555 1
9.1%
-0.08253538932 1
9.1%
2.329253124 1
9.1%
0.0003046693487 1
9.1%
-1.320793943 1
9.1%
0.6694763375 1
9.1%
0.0418277705 1
9.1%
ValueCountFrequency (%)
-1.491184741 1
9.1%
-1.320793943 1
9.1%
-0.9153191555 1
9.1%
-0.5350366644 1
9.1%
-0.1828755012 1
9.1%
ValueCountFrequency (%)
2.329253124 1
9.1%
1.559405682 1
9.1%
0.6694763375 1
9.1%
0.0418277705 1
9.1%
0.0003046693487 1
9.1%

stockvwUsdVal
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.182194262
Minimum-2.082053002
Maximum1.804545118
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:06.991187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.082053002
5-th percentile-1.648065801
Q1-0.3909076125
median0.3849352519
Q31.009290824
95-th percentile1.648602467
Maximum1.804545118
Range3.886598119
Interquartile range (IQR)1.400198436

Descriptive statistics

Standard deviation1.17595259
Coefficient of variation (CV)6.454388724
Kurtosis-0.2039237242
Mean0.182194262
Median Absolute Deviation (MAD)0.759409599
Skewness-0.5240836697
Sum2.004136882
Variance1.382864495
MonotonicityNot monotonic
2025-03-30T10:49:07.381495image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.4749975972 1
9.1%
-2.082053002 1
9.1%
-1.2140786 1
9.1%
0.3849352519 1
9.1%
1.492659817 1
9.1%
1.804545118 1
9.1%
-0.1874531359 1
9.1%
0.5688150116 1
9.1%
-0.3068176279 1
9.1%
0.8742367964 1
9.1%
ValueCountFrequency (%)
-2.082053002 1
9.1%
-1.2140786 1
9.1%
-0.4749975972 1
9.1%
-0.3068176279 1
9.1%
-0.1874531359 1
9.1%
ValueCountFrequency (%)
1.804545118 1
9.1%
1.492659817 1
9.1%
1.144344851 1
9.1%
0.8742367964 1
9.1%
0.5688150116 1
9.1%

stockvwTotCnt
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5433358904
Minimum-0.5333009997
Maximum1.785900047
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)18.2%
Memory size176.0 B
2025-03-30T10:49:07.806184image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.5333009997
5-th percentile-0.4754848437
Q10.1946010433
median0.5766901468
Q30.9222596975
95-th percentile1.478993104
Maximum1.785900047
Range2.319201046
Interquartile range (IQR)0.7276586542

Descriptive statistics

Standard deviation0.6756348435
Coefficient of variation (CV)1.24349386
Kurtosis0.06428491238
Mean0.5433358904
Median Absolute Deviation (MAD)0.3620674957
Skewness0.02210516611
Sum5.976694794
Variance0.4564824418
MonotonicityNot monotonic
2025-03-30T10:49:08.197087image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.5333009997 1
9.1%
0.5766901468 1
9.1%
0.6386202199 1
9.1%
0.9387576425 1
9.1%
1.785900047 1
9.1%
0.170047405 1
9.1%
0.5206464247 1
9.1%
-0.4176686877 1
9.1%
0.2191546815 1
9.1%
0.9057617525 1
9.1%
ValueCountFrequency (%)
-0.5333009997 1
9.1%
-0.4176686877 1
9.1%
0.170047405 1
9.1%
0.2191546815 1
9.1%
0.5206464247 1
9.1%
ValueCountFrequency (%)
1.785900047 1
9.1%
1.172086162 1
9.1%
0.9387576425 1
9.1%
0.9057617525 1
9.1%
0.6386202199 1
9.1%

stockvwUsdCnt
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1466238756
Minimum-1.632222741
Maximum1.438525775
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:08.558730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.632222741
5-th percentile-1.369028243
Q1-0.5379687745
median-0.1955345136
Q30.3246228204
95-th percentile1.048121401
Maximum1.438525775
Range3.070748516
Interquartile range (IQR)0.8625915949

Descriptive statistics

Standard deviation0.847430941
Coefficient of variation (CV)-5.779624483
Kurtosis0.3169403656
Mean-0.1466238756
Median Absolute Deviation (MAD)0.4713469817
Skewness0.0853824347
Sum-1.612862631
Variance0.7181391997
MonotonicityNot monotonic
2025-03-30T10:49:08.936473image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.438525775 1
9.1%
-0.565753663 1
9.1%
0.08438088165 1
9.1%
-1.105833745 1
9.1%
-0.1955345136 1
9.1%
0.2758124681 1
9.1%
-0.4332034072 1
9.1%
0.657717026 1
9.1%
-0.510183886 1
9.1%
-1.632222741 1
9.1%
ValueCountFrequency (%)
-1.632222741 1
9.1%
-1.105833745 1
9.1%
-0.565753663 1
9.1%
-0.510183886 1
9.1%
-0.4332034072 1
9.1%
ValueCountFrequency (%)
1.438525775 1
9.1%
0.657717026 1
9.1%
0.3734331728 1
9.1%
0.2758124681 1
9.1%
0.08438088165 1
9.1%

stockewretd
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9661935777
Minimum-0.8669707498
Maximum2.243591724
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)18.2%
Memory size176.0 B
2025-03-30T10:49:09.333905image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8669707498
5-th percentile-0.7626154463
Q10.6321760099
median1.271908781
Q31.599434058
95-th percentile2.089419563
Maximum2.243591724
Range3.110562474
Interquartile range (IQR)0.9672580478

Descriptive statistics

Standard deviation0.9958418327
Coefficient of variation (CV)1.030685626
Kurtosis-0.01856957303
Mean0.9661935777
Median Absolute Deviation (MAD)0.4432694013
Skewness-0.8662798817
Sum10.62812936
Variance0.9917009558
MonotonicityNot monotonic
2025-03-30T10:49:09.739019image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.271908781 1
9.1%
0.8286393794 1
9.1%
-0.6582601427 1
9.1%
0.4357126404 1
9.1%
2.243591724 1
9.1%
1.935247403 1
9.1%
-0.8669707498 1
9.1%
0.9020770234 1
9.1%
1.667385218 1
9.1%
1.337315181 1
9.1%
ValueCountFrequency (%)
-0.8669707498 1
9.1%
-0.6582601427 1
9.1%
0.4357126404 1
9.1%
0.8286393794 1
9.1%
0.9020770234 1
9.1%
ValueCountFrequency (%)
2.243591724 1
9.1%
1.935247403 1
9.1%
1.667385218 1
9.1%
1.531482898 1
9.1%
1.337315181 1
9.1%

stockewretx
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2280287171
Minimum-1.921756049
Maximum0.7937157621
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:10.142209image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.921756049
5-th percentile-1.357113204
Q1-0.7014979237
median0.1277345529
Q30.1802763095
95-th percentile0.7127097349
Maximum0.7937157621
Range2.715471811
Interquartile range (IQR)0.8817742331

Descriptive statistics

Standard deviation0.7777652711
Coefficient of variation (CV)-3.410821589
Kurtosis0.9229776643
Mean-0.2280287171
Median Absolute Deviation (MAD)0.561015361
Skewness-0.8655199213
Sum-2.508315888
Variance0.604918817
MonotonicityNot monotonic
2025-03-30T10:49:10.557936image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.1277345529 1
9.1%
0.1669672791 1
9.1%
-0.7222187689 1
9.1%
0.1284805329 1
9.1%
0.6317037077 1
9.1%
0.1935853398 1
9.1%
-0.6807770784 1
9.1%
-1.921756049 1
9.1%
0.7937157621 1
9.1%
-0.4332808081 1
9.1%
ValueCountFrequency (%)
-1.921756049 1
9.1%
-0.7924703584 1
9.1%
-0.7222187689 1
9.1%
-0.6807770784 1
9.1%
-0.4332808081 1
9.1%
ValueCountFrequency (%)
0.7937157621 1
9.1%
0.6317037077 1
9.1%
0.1935853398 1
9.1%
0.1669672791 1
9.1%
0.1284805329 1
9.1%

stockewTotVal
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5939268177
Minimum-1.517799093
Maximum1.9748008
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:49:10.922639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.517799093
5-th percentile-1.467454917
Q1-1.363308153
median-1.038053571
Q30.03628548722
95-th percentile1.133063016
Maximum1.9748008
Range3.492599893
Interquartile range (IQR)1.39959364

Descriptive statistics

Standard deviation1.079182351
Coefficient of variation (CV)-1.817029167
Kurtosis2.135214435
Mean-0.5939268177
Median Absolute Deviation (MAD)0.3790571699
Skewness1.502621356
Sum-6.533194995
Variance1.164634546
MonotonicityNot monotonic
2025-03-30T10:49:11.324231image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.275875616 1
9.1%
-0.8964366753 1
9.1%
-1.385581513 1
9.1%
-1.417110741 1
9.1%
0.2913252329 1
9.1%
-1.341034792 1
9.1%
-1.517799093 1
9.1%
1.9748008 1
9.1%
0.04347630103 1
9.1%
-1.038053571 1
9.1%
ValueCountFrequency (%)
-1.517799093 1
9.1%
-1.417110741 1
9.1%
-1.385581513 1
9.1%
-1.341034792 1
9.1%
-1.275875616 1
9.1%
ValueCountFrequency (%)
1.9748008 1
9.1%
0.2913252329 1
9.1%
0.04347630103 1
9.1%
0.02909467341 1
9.1%
-0.8964366753 1
9.1%

stockewUsdVal
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3225930945
Minimum-1.387488964
Maximum3.093429531
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:11.740363image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.387488964
5-th percentile-0.9947352834
Q1-0.4026447374
median0.04231206105
Q30.8679301004
95-th percentile2.141652851
Maximum3.093429531
Range4.480918495
Interquartile range (IQR)1.270574838

Descriptive statistics

Standard deviation1.191434337
Coefficient of variation (CV)3.69330391
Kurtosis2.189433604
Mean0.3225930945
Median Absolute Deviation (MAD)0.6141351259
Skewness1.132614591
Sum3.54852404
Variance1.41951578
MonotonicityNot monotonic
2025-03-30T10:49:12.130515image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3.093429531 1
9.1%
-0.02894731481 1
9.1%
-0.2480950319 1
9.1%
1.079413014 1
9.1%
0.04231206105 1
9.1%
1.189876172 1
9.1%
-0.5571944429 1
9.1%
0.3107534317 1
9.1%
0.6564471869 1
9.1%
-1.387488964 1
9.1%
ValueCountFrequency (%)
-1.387488964 1
9.1%
-0.6019816025 1
9.1%
-0.5571944429 1
9.1%
-0.2480950319 1
9.1%
-0.02894731481 1
9.1%
ValueCountFrequency (%)
3.093429531 1
9.1%
1.189876172 1
9.1%
1.079413014 1
9.1%
0.6564471869 1
9.1%
0.3107534317 1
9.1%

stockewTotCnt
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2632692456
Minimum-1.071385464
Maximum1.318329888
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:49:12.497708image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.071385464
5-th percentile-1.00332413
Q1-0.8290629111
median-0.5377297505
Q30.2086793935
95-th percentile0.9854515067
Maximum1.318329888
Range2.389715352
Interquartile range (IQR)1.037742305

Descriptive statistics

Standard deviation0.7669614366
Coefficient of variation (CV)-2.913220778
Kurtosis0.1141531656
Mean-0.2632692456
Median Absolute Deviation (MAD)0.3975330448
Skewness1.040307767
Sum-2.895961702
Variance0.5882298452
MonotonicityNot monotonic
2025-03-30T10:49:12.904668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.318329888 1
9.1%
-0.8186934242 1
9.1%
-0.5886829977 1
9.1%
-0.4930366726 1
9.1%
-0.839432398 1
9.1%
-0.03370609466 1
9.1%
-1.071385464 1
9.1%
0.6525731255 1
9.1%
-0.9352627953 1
9.1%
-0.5377297505 1
9.1%
ValueCountFrequency (%)
-1.071385464 1
9.1%
-0.9352627953 1
9.1%
-0.839432398 1
9.1%
-0.8186934242 1
9.1%
-0.5886829977 1
9.1%
ValueCountFrequency (%)
1.318329888 1
9.1%
0.6525731255 1
9.1%
0.4510648816 1
9.1%
-0.03370609466 1
9.1%
-0.4930366726 1
9.1%

stockewUsdCnt
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06939126292
Minimum-2.489127805
Maximum1.856731604
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:13.290523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.489127805
5-th percentile-1.88212578
Q1-0.8706719768
median-0.1279509501
Q30.8293361821
95-th percentile1.69670901
Maximum1.856731604
Range4.345859409
Interquartile range (IQR)1.700008159

Descriptive statistics

Standard deviation1.313400681
Coefficient of variation (CV)-18.92746473
Kurtosis-0.4813026881
Mean-0.06939126292
Median Absolute Deviation (MAD)0.9044466996
Skewness-0.2212864038
Sum-0.7633038921
Variance1.72502135
MonotonicityNot monotonic
2025-03-30T10:49:13.658542image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.536686416 1
9.1%
-2.489127805 1
9.1%
1.856731604 1
9.1%
-1.275123755 1
9.1%
1.053749005 1
9.1%
-0.1279509501 1
9.1%
-1.03239765 1
9.1%
-0.6363366596 1
9.1%
-0.7089463041 1
9.1%
0.4544888476 1
9.1%
ValueCountFrequency (%)
-2.489127805 1
9.1%
-1.275123755 1
9.1%
-1.03239765 1
9.1%
-0.7089463041 1
9.1%
-0.6363366596 1
9.1%
ValueCountFrequency (%)
1.856731604 1
9.1%
1.536686416 1
9.1%
1.053749005 1
9.1%
0.6049233587 1
9.1%
0.4544888476 1
9.1%

stocksprtrn
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1904940954
Minimum-1.368177208
Maximum1.096946958
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:14.028996image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.368177208
5-th percentile-1.356381482
Q1-0.9306618754
median-0.3143219112
Q30.3906744991
95-th percentile1.031883396
Maximum1.096946958
Range2.465124166
Interquartile range (IQR)1.321336375

Descriptive statistics

Standard deviation0.8825763613
Coefficient of variation (CV)-4.633090381
Kurtosis-1.36389261
Mean-0.1904940954
Median Absolute Deviation (MAD)0.7483511137
Skewness0.027017395
Sum-2.09543505
Variance0.7789410335
MonotonicityNot monotonic
2025-03-30T10:49:14.394918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.9668198345 1
9.1%
-1.344585757 1
9.1%
0.2819867517 1
9.1%
-0.3215128084 1
9.1%
-1.062673025 1
9.1%
0.2693705952 1
9.1%
0.4993622464 1
9.1%
-0.3143219112 1
9.1%
1.096946958 1
9.1%
-1.368177208 1
9.1%
ValueCountFrequency (%)
-1.368177208 1
9.1%
-1.344585757 1
9.1%
-1.062673025 1
9.1%
-0.798650726 1
9.1%
-0.3215128084 1
9.1%
ValueCountFrequency (%)
1.096946958 1
9.1%
0.9668198345 1
9.1%
0.4993622464 1
9.1%
0.2819867517 1
9.1%
0.2693705952 1
9.1%

ustreb30ret
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4107243564
Minimum-2.52108665
Maximum1.351813324
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:49:14.773914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.52108665
5-th percentile-2.316502449
Q1-1.545351248
median-0.0805115175
Q30.4787728403
95-th percentile1.277738605
Maximum1.351813324
Range3.872899974
Interquartile range (IQR)2.024124089

Descriptive statistics

Standard deviation1.339748357
Coefficient of variation (CV)-3.261916018
Kurtosis-1.238900962
Mean-0.4107243564
Median Absolute Deviation (MAD)1.284175404
Skewness-0.2536051129
Sum-4.51796792
Variance1.79492566
MonotonicityNot monotonic
2025-03-30T10:49:15.185498image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.1886723149 1
9.1%
1.351813324 1
9.1%
0.02114939558 1
9.1%
-2.52108665 1
9.1%
-1.633601674 1
9.1%
-0.03809958267 1
9.1%
-0.0805115175 1
9.1%
0.936396285 1
9.1%
-1.457100822 1
9.1%
-2.111918249 1
9.1%
ValueCountFrequency (%)
-2.52108665 1
9.1%
-2.111918249 1
9.1%
-1.633601674 1
9.1%
-1.457100822 1
9.1%
-0.1886723149 1
9.1%
ValueCountFrequency (%)
1.351813324 1
9.1%
1.203663886 1
9.1%
0.936396285 1
9.1%
0.02114939558 1
9.1%
-0.03809958267 1
9.1%

ustreb30ind
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07781876646
Minimum-1.684076255
Maximum1.64491421
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:49:15.615319image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.684076255
5-th percentile-1.260526168
Q1-0.5397120095
median-0.3195506423
Q30.3047083357
95-th percentile1.605509127
Maximum1.64491421
Range3.328990464
Interquartile range (IQR)0.8444203452

Descriptive statistics

Standard deviation0.9997016486
Coefficient of variation (CV)-12.84653682
Kurtosis0.1378443091
Mean-0.07781876646
Median Absolute Deviation (MAD)0.3154214005
Skewness0.6142830399
Sum-0.8560064311
Variance0.9994033863
MonotonicityNot monotonic
2025-03-30T10:49:16.020173image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.004129241783 1
9.1%
-0.5733781119 1
9.1%
-0.2885236105 1
9.1%
-0.4678907491 1
9.1%
-0.8369760817 1
9.1%
-1.684076255 1
9.1%
1.566104045 1
9.1%
-0.3195506423 1
9.1%
0.6135459132 1
9.1%
-0.5060459072 1
9.1%
ValueCountFrequency (%)
-1.684076255 1
9.1%
-0.8369760817 1
9.1%
-0.5733781119 1
9.1%
-0.5060459072 1
9.1%
-0.4678907491 1
9.1%
ValueCountFrequency (%)
1.64491421 1
9.1%
1.566104045 1
9.1%
0.6135459132 1
9.1%
-0.004129241783 1
9.1%
-0.2885236105 1
9.1%

ustreb20ret
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1137511972
Minimum-1.505876487
Maximum1.676597932
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:16.416539image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.505876487
5-th percentile-1.355587851
Q1-0.962886724
median0.6616624654
Q31.072186745
95-th percentile1.511063893
Maximum1.676597932
Range3.182474419
Interquartile range (IQR)2.035073469

Descriptive statistics

Standard deviation1.17726494
Coefficient of variation (CV)10.34947296
Kurtosis-1.944840784
Mean0.1137511972
Median Absolute Deviation (MAD)1.014935466
Skewness-0.1279909303
Sum1.251263169
Variance1.385952738
MonotonicityNot monotonic
2025-03-30T10:49:16.795379image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.079702365 1
9.1%
-0.9184488226 1
9.1%
-1.007324625 1
9.1%
-0.6989769412 1
9.1%
-1.505876487 1
9.1%
0.6616624654 1
9.1%
-1.205299215 1
9.1%
1.345529854 1
9.1%
1.676597932 1
9.1%
0.7590255206 1
9.1%
ValueCountFrequency (%)
-1.505876487 1
9.1%
-1.205299215 1
9.1%
-1.007324625 1
9.1%
-0.9184488226 1
9.1%
-0.6989769412 1
9.1%
ValueCountFrequency (%)
1.676597932 1
9.1%
1.345529854 1
9.1%
1.079702365 1
9.1%
1.064671124 1
9.1%
0.7590255206 1
9.1%

ustreb20ind
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4210890048
Minimum-1.580935521
Maximum2.020473977
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)27.3%
Memory size176.0 B
2025-03-30T10:49:17.704398image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.580935521
5-th percentile-1.474649251
Q1-0.04478506789
median0.4331844114
Q31.296884721
95-th percentile1.982192507
Maximum2.020473977
Range3.601409498
Interquartile range (IQR)1.341669789

Descriptive statistics

Standard deviation1.194770606
Coefficient of variation (CV)2.837335081
Kurtosis-0.5660299961
Mean0.4210890048
Median Absolute Deviation (MAD)0.6591198553
Skewness-0.3482148625
Sum4.631979053
Variance1.4274768
MonotonicityNot monotonic
2025-03-30T10:49:18.091944image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.4984673226 1
9.1%
0.4331844114 1
9.1%
1.509025199 1
9.1%
0.1363653081 1
9.1%
-1.580935521 1
9.1%
-1.368362981 1
9.1%
2.020473977 1
9.1%
-0.2259354439 1
9.1%
0.1810415011 1
9.1%
1.084744243 1
9.1%
ValueCountFrequency (%)
-1.580935521 1
9.1%
-1.368362981 1
9.1%
-0.2259354439 1
9.1%
0.1363653081 1
9.1%
0.1810415011 1
9.1%
ValueCountFrequency (%)
2.020473977 1
9.1%
1.943911036 1
9.1%
1.509025199 1
9.1%
1.084744243 1
9.1%
0.4984673226 1
9.1%

ustreb10ret
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1397965558
Minimum-1.661278749
Maximum1.091015109
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:18.486488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.661278749
5-th percentile-1.489087865
Q1-1.101304302
median0.05263122789
Q30.6417740606
95-th percentile0.9079150429
Maximum1.091015109
Range2.752293858
Interquartile range (IQR)1.743078362

Descriptive statistics

Standard deviation0.9782698671
Coefficient of variation (CV)-6.997810934
Kurtosis-1.549146366
Mean-0.1397965558
Median Absolute Deviation (MAD)0.6721837484
Skewness-0.4328022267
Sum-1.537762114
Variance0.9570119328
MonotonicityNot monotonic
2025-03-30T10:49:18.845524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.262321085 1
9.1%
0.6813541423 1
9.1%
-1.316896981 1
9.1%
-1.661278749 1
9.1%
0.7248149763 1
9.1%
0.602193979 1
9.1%
-0.9402875182 1
9.1%
1.091015109 1
9.1%
0.5171354566 1
9.1%
-0.02612267213 1
9.1%
ValueCountFrequency (%)
-1.661278749 1
9.1%
-1.316896981 1
9.1%
-1.262321085 1
9.1%
-0.9402875182 1
9.1%
-0.02612267213 1
9.1%
ValueCountFrequency (%)
1.091015109 1
9.1%
0.7248149763 1
9.1%
0.6813541423 1
9.1%
0.602193979 1
9.1%
0.5171354566 1
9.1%

ustreb10ind
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5488815944
Minimum-1.089309928
Maximum2.886247471
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:19.257089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.089309928
5-th percentile-1.055703858
Q1-0.4552327962
median0.4789598592
Q31.733355833
95-th percentile2.368793795
Maximum2.886247471
Range3.975557399
Interquartile range (IQR)2.18858863

Descriptive statistics

Standard deviation1.33497091
Coefficient of variation (CV)2.432165559
Kurtosis-1.104361576
Mean0.5488815944
Median Absolute Deviation (MAD)1.231795084
Skewness0.3710968667
Sum6.037697539
Variance1.782147331
MonotonicityNot monotonic
2025-03-30T10:49:19.664764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.5756170642 1
9.1%
-0.2089715512 1
9.1%
-0.1993053333 1
9.1%
-1.089309928 1
9.1%
1.710754943 1
9.1%
-0.7014940411 1
9.1%
-1.022097788 1
9.1%
1.851340119 1
9.1%
2.886247471 1
9.1%
1.755956724 1
9.1%
ValueCountFrequency (%)
-1.089309928 1
9.1%
-1.022097788 1
9.1%
-0.7014940411 1
9.1%
-0.2089715512 1
9.1%
-0.1993053333 1
9.1%
ValueCountFrequency (%)
2.886247471 1
9.1%
1.851340119 1
9.1%
1.755956724 1
9.1%
1.710754943 1
9.1%
0.5756170642 1
9.1%

ustreb7ret
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3062117007
Minimum-1.927755259
Maximum0.5966479047
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:49:20.091124image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.927755259
5-th percentile-1.748813084
Q1-0.6995802919
median-0.06182992277
Q30.4148959645
95-th percentile0.536552679
Maximum0.5966479047
Range2.524403164
Interquartile range (IQR)1.114476256

Descriptive statistics

Standard deviation0.8456650652
Coefficient of variation (CV)-2.761700691
Kurtosis-0.1798413663
Mean-0.3062117007
Median Absolute Deviation (MAD)0.5382873761
Skewness-0.8947447556
Sum-3.368328707
Variance0.7151494025
MonotonicityNot monotonic
2025-03-30T10:49:20.488517image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.927755259 1
9.1%
0.5966479047 1
9.1%
-0.05014857081 1
9.1%
0.4764574533 1
9.1%
-0.6002257301 1
9.1%
0.438471757 1
9.1%
-0.06182992277 1
9.1%
-0.7989348537 1
9.1%
-1.569870909 1
9.1%
0.3913201719 1
9.1%
ValueCountFrequency (%)
-1.927755259 1
9.1%
-1.569870909 1
9.1%
-0.7989348537 1
9.1%
-0.6002257301 1
9.1%
-0.2624607487 1
9.1%
ValueCountFrequency (%)
0.5966479047 1
9.1%
0.4764574533 1
9.1%
0.438471757 1
9.1%
0.3913201719 1
9.1%
-0.05014857081 1
9.1%

ustreb7ind
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3205812148
Minimum-2.051259705
Maximum1.356909628
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:20.859678image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.051259705
5-th percentile-2.010472081
Q1-0.4625454217
median-0.2866180385
Q30.09674975834
95-th percentile0.8883125085
Maximum1.356909628
Range3.408169333
Interquartile range (IQR)0.5592951801

Descriptive statistics

Standard deviation0.9804211779
Coefficient of variation (CV)-3.058261472
Kurtosis0.7282396701
Mean-0.3205812148
Median Absolute Deviation (MAD)0.339535638
Skewness-0.5658749997
Sum-3.526393362
Variance0.9612256861
MonotonicityNot monotonic
2025-03-30T10:49:21.276314image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.05291759949 1
9.1%
-0.559508219 1
9.1%
-1.969684456 1
9.1%
-0.2929269401 1
9.1%
0.1405819172 1
9.1%
-2.051259705 1
9.1%
0.02906208739 1
9.1%
-0.2866180385 1
9.1%
1.356909628 1
9.1%
-0.3655826245 1
9.1%
ValueCountFrequency (%)
-2.051259705 1
9.1%
-1.969684456 1
9.1%
-0.559508219 1
9.1%
-0.3655826245 1
9.1%
-0.2929269401 1
9.1%
ValueCountFrequency (%)
1.356909628 1
9.1%
0.4197153887 1
9.1%
0.1405819172 1
9.1%
0.05291759949 1
9.1%
0.02906208739 1
9.1%

ustreb5ret
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4525775684
Minimum-2.008324005
Maximum0.70065255
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:49:21.697434image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.008324005
5-th percentile-1.623805736
Q1-1.002554314
median-0.6243376513
Q30.3432368047
95-th percentile0.6520939046
Maximum0.70065255
Range2.708976555
Interquartile range (IQR)1.345791119

Descriptive statistics

Standard deviation0.8717458338
Coefficient of variation (CV)-1.926179941
Kurtosis-0.7692110231
Mean-0.4525775684
Median Absolute Deviation (MAD)0.614949816
Skewness-0.1429441603
Sum-4.978353252
Variance0.7599407987
MonotonicityNot monotonic
2025-03-30T10:49:22.144783image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.239287467 1
9.1%
-0.6243376513 1
9.1%
-0.8255810417 1
9.1%
0.70065255 1
9.1%
-1.179527586 1
9.1%
-0.6950007358 1
9.1%
0.5544728439 1
9.1%
-0.396956184 1
9.1%
0.1320007655 1
9.1%
-2.008324005 1
9.1%
ValueCountFrequency (%)
-2.008324005 1
9.1%
-1.239287467 1
9.1%
-1.179527586 1
9.1%
-0.8255810417 1
9.1%
-0.6950007358 1
9.1%
ValueCountFrequency (%)
0.70065255 1
9.1%
0.6035352592 1
9.1%
0.5544728439 1
9.1%
0.1320007655 1
9.1%
-0.396956184 1
9.1%

ustreb5ind
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02484451952
Minimum-0.9920420253
Maximum0.6355863543
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:22.562394image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9920420253
5-th percentile-0.8302016507
Q1-0.432439425
median0.1729701059
Q30.3678881101
95-th percentile0.6343406661
Maximum0.6355863543
Range1.62762838
Interquartile range (IQR)0.8003275351

Descriptive statistics

Standard deviation0.5484928632
Coefficient of variation (CV)-22.07701633
Kurtosis-1.03065337
Mean-0.02484451952
Median Absolute Deviation (MAD)0.4601248719
Skewness-0.4458758323
Sum-0.2732897147
Variance0.300844421
MonotonicityNot monotonic
2025-03-30T10:49:22.985313image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.5116510233 1
9.1%
0.2476720647 1
9.1%
0.6355863543 1
9.1%
0.6330949779 1
9.1%
0.1729701059 1
9.1%
0.3440733145 1
9.1%
-0.9920420253 1
9.1%
-0.3532278267 1
9.1%
0.3917029056 1
9.1%
-0.1731072861 1
9.1%
ValueCountFrequency (%)
-0.9920420253 1
9.1%
-0.6683612762 1
9.1%
-0.5116510233 1
9.1%
-0.3532278267 1
9.1%
-0.1731072861 1
9.1%
ValueCountFrequency (%)
0.6355863543 1
9.1%
0.6330949779 1
9.1%
0.3917029056 1
9.1%
0.3440733145 1
9.1%
0.2476720647 1
9.1%

ustreb2ret
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02397899364
Minimum-1.630331645
Maximum1.75244205
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:23.398987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.630331645
5-th percentile-1.619215502
Q1-0.6897237803
median-0.1053549387
Q30.9129911321
95-th percentile1.582172242
Maximum1.75244205
Range3.382773694
Interquartile range (IQR)1.602714912

Descriptive statistics

Standard deviation1.141494263
Coefficient of variation (CV)47.60392703
Kurtosis-1.02347028
Mean0.02397899364
Median Absolute Deviation (MAD)0.9477486289
Skewness-0.03188880814
Sum0.26376893
Variance1.303009153
MonotonicityNot monotonic
2025-03-30T10:49:23.776650image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.75244205 1
9.1%
-1.608099359 1
9.1%
-1.630331645 1
9.1%
-0.1829574255 1
9.1%
0.8423936902 1
9.1%
-0.5834753166 1
9.1%
0.1796331106 1
9.1%
1.411902434 1
9.1%
0.9835885739 1
9.1%
-0.1053549387 1
9.1%
ValueCountFrequency (%)
-1.630331645 1
9.1%
-1.608099359 1
9.1%
-0.7959722441 1
9.1%
-0.5834753166 1
9.1%
-0.1829574255 1
9.1%
ValueCountFrequency (%)
1.75244205 1
9.1%
1.411902434 1
9.1%
0.9835885739 1
9.1%
0.8423936902 1
9.1%
0.1796331106 1
9.1%

ustreb2ind
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4406820956
Minimum-1.748013694
Maximum0.4529157593
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:24.174801image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.748013694
5-th percentile-1.491327608
Q1-1.012542407
median-0.3683183232
Q30.2097087295
95-th percentile0.3899449064
Maximum0.4529157593
Range2.200929453
Interquartile range (IQR)1.222251137

Descriptive statistics

Standard deviation0.7465849457
Coefficient of variation (CV)-1.694157655
Kurtosis-1.149450045
Mean-0.4406820956
Median Absolute Deviation (MAD)0.6841773097
Skewness-0.4094839347
Sum-4.847503051
Variance0.5573890812
MonotonicityNot monotonic
2025-03-30T10:49:24.558064image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.3683183232 1
9.1%
-1.199393511 1
9.1%
0.3158589866 1
9.1%
-0.6720862934 1
9.1%
-1.234641523 1
9.1%
0.1035584725 1
9.1%
-0.8256913036 1
9.1%
0.3269740534 1
9.1%
0.4529157593 1
9.1%
-1.748013694 1
9.1%
ValueCountFrequency (%)
-1.748013694 1
9.1%
-1.234641523 1
9.1%
-1.199393511 1
9.1%
-0.8256913036 1
9.1%
-0.6720862934 1
9.1%
ValueCountFrequency (%)
0.4529157593 1
9.1%
0.3269740534 1
9.1%
0.3158589866 1
9.1%
0.1035584725 1
9.1%
0.001334325278 1
9.1%

ustreb1ret
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3784558375
Minimum-1.785265048
Maximum2.388446817
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)27.3%
Memory size176.0 B
2025-03-30T10:49:24.979237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.785265048
5-th percentile-1.156685265
Q1-0.07557027069
median0.2573567266
Q30.8898079523
95-th percentile1.87817104
Maximum2.388446817
Range4.173711864
Interquartile range (IQR)0.965378223

Descriptive statistics

Standard deviation1.082694645
Coefficient of variation (CV)2.860821629
Kurtosis1.201090204
Mean0.3784558375
Median Absolute Deviation (MAD)0.4650185782
Skewness-0.1575822005
Sum4.163014212
Variance1.172227695
MonotonicityNot monotonic
2025-03-30T10:49:25.346508image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.1878371996 1
9.1%
0.7223753048 1
9.1%
-1.785265048 1
9.1%
0.7047789668 1
9.1%
0.03669665823 1
9.1%
1.367895263 1
9.1%
2.388446817 1
9.1%
0.129431605 1
9.1%
0.2573567266 1
9.1%
-0.5281054814 1
9.1%
ValueCountFrequency (%)
-1.785265048 1
9.1%
-0.5281054814 1
9.1%
-0.1878371996 1
9.1%
0.03669665823 1
9.1%
0.129431605 1
9.1%
ValueCountFrequency (%)
2.388446817 1
9.1%
1.367895263 1
9.1%
1.0572406 1
9.1%
0.7223753048 1
9.1%
0.7047789668 1
9.1%

ustreb1ind
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6301210844
Minimum-2.208361503
Maximum0.3315429496
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:49:25.697714image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.208361503
5-th percentile-1.94570303
Q1-0.8877740288
median-0.6589514433
Q30.02647186469
95-th percentile0.2863854568
Maximum0.3315429496
Range2.539904453
Interquartile range (IQR)0.9142458935

Descriptive statistics

Standard deviation0.7986203929
Coefficient of variation (CV)-1.267407825
Kurtosis0.1020348845
Mean-0.6301210844
Median Absolute Deviation (MAD)0.4785498598
Skewness-0.6833531331
Sum-6.931331929
Variance0.637794532
MonotonicityNot monotonic
2025-03-30T10:49:26.095536image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.2412279639 1
9.1%
-0.6589514433 1
9.1%
-0.8590818437 1
9.1%
0.3315429496 1
9.1%
0.2333453128 1
9.1%
-2.208361503 1
9.1%
-0.1804015835 1
9.1%
-0.6894445375 1
9.1%
-1.683044557 1
9.1%
-0.9164662138 1
9.1%
ValueCountFrequency (%)
-2.208361503 1
9.1%
-1.683044557 1
9.1%
-0.9164662138 1
9.1%
-0.8590818437 1
9.1%
-0.6894445375 1
9.1%
ValueCountFrequency (%)
0.3315429496 1
9.1%
0.2412279639 1
9.1%
0.2333453128 1
9.1%
-0.1804015835 1
9.1%
-0.5416964738 1
9.1%

ustret90ret
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009077514629
Minimum-1.62120391
Maximum1.555944868
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:49:26.444495image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.62120391
5-th percentile-1.305406011
Q1-0.7380032324
median0.1249478343
Q30.3963291994
95-th percentile1.520801995
Maximum1.555944868
Range3.177148778
Interquartile range (IQR)1.134332432

Descriptive statistics

Standard deviation0.9910877709
Coefficient of variation (CV)109.1805204
Kurtosis-0.4524483927
Mean0.009077514629
Median Absolute Deviation (MAD)0.6573780091
Skewness0.09487481711
Sum0.09985266092
Variance0.9822549696
MonotonicityNot monotonic
2025-03-30T10:49:26.843000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.1249478343 1
9.1%
0.5664944864 1
9.1%
1.555944868 1
9.1%
0.2261639123 1
9.1%
-0.9435762899 1
9.1%
0.126318083 1
9.1%
-0.9896081123 1
9.1%
0.1011428414 1
9.1%
-0.5324301749 1
9.1%
1.485659122 1
9.1%
ValueCountFrequency (%)
-1.62120391 1
9.1%
-0.9896081123 1
9.1%
-0.9435762899 1
9.1%
-0.5324301749 1
9.1%
0.1011428414 1
9.1%
ValueCountFrequency (%)
1.555944868 1
9.1%
1.485659122 1
9.1%
0.5664944864 1
9.1%
0.2261639123 1
9.1%
0.126318083 1
9.1%

ustret90ind
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2226677169
Minimum-1.598055492
Maximum1.800746069
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:49:27.224492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.598055492
5-th percentile-1.445803819
Q1-0.8418477079
median-0.4868968575
Q30.1489085235
95-th percentile1.653581546
Maximum1.800746069
Range3.398801561
Interquartile range (IQR)0.9907562315

Descriptive statistics

Standard deviation1.086768744
Coefficient of variation (CV)-4.880674933
Kurtosis-0.04725239047
Mean-0.2226677169
Median Absolute Deviation (MAD)0.4555195541
Skewness0.8975435364
Sum-2.449344886
Variance1.181066304
MonotonicityNot monotonic
2025-03-30T10:49:27.622422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.2795464524 1
9.1%
-0.9424164116 1
9.1%
-0.4868968575 1
9.1%
-1.598055492 1
9.1%
-0.7125786629 1
9.1%
-1.293552146 1
9.1%
1.800746069 1
9.1%
-0.7412790043 1
9.1%
1.506417024 1
9.1%
0.5439034835 1
9.1%
ValueCountFrequency (%)
-1.598055492 1
9.1%
-1.293552146 1
9.1%
-0.9424164116 1
9.1%
-0.7412790043 1
9.1%
-0.7125786629 1
9.1%
ValueCountFrequency (%)
1.800746069 1
9.1%
1.506417024 1
9.1%
0.5439034835 1
9.1%
-0.2460864365 1
9.1%
-0.2795464524 1
9.1%

ustret30ret
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1540382246
Minimum-1.142837108
Maximum1.588489849
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:28.142164image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.142837108
5-th percentile-1.133780708
Q1-1.020809537
median-0.03899093639
Q30.4670139878
95-th percentile1.12244077
Maximum1.588489849
Range2.731326957
Interquartile range (IQR)1.487823525

Descriptive statistics

Standard deviation0.9012433431
Coefficient of variation (CV)-5.850777271
Kurtosis-0.523889629
Mean-0.1540382246
Median Absolute Deviation (MAD)0.6953826269
Skewness0.5197157268
Sum-1.69442047
Variance0.8122395635
MonotonicityNot monotonic
2025-03-30T10:49:28.568193image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.03899093639 1
9.1%
0.002744389692 1
9.1%
0.3207739267 1
9.1%
-1.124724308 1
9.1%
0.6563916906 1
9.1%
-0.527902947 1
9.1%
1.588489849 1
9.1%
0.613254049 1
9.1%
-1.142837108 1
9.1%
-1.107064015 1
9.1%
ValueCountFrequency (%)
-1.142837108 1
9.1%
-1.124724308 1
9.1%
-1.107064015 1
9.1%
-0.9345550603 1
9.1%
-0.527902947 1
9.1%
ValueCountFrequency (%)
1.588489849 1
9.1%
0.6563916906 1
9.1%
0.613254049 1
9.1%
0.3207739267 1
9.1%
0.002744389692 1
9.1%

ustret30ind
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.160304082
Minimum-1.509358591
Maximum1.160258475
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:49:29.016747image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.509358591
5-th percentile-1.060134945
Q1-0.1428176385
median0.3298577379
Q30.5570998625
95-th percentile1.137245775
Maximum1.160258475
Range2.669617065
Interquartile range (IQR)0.699917501

Descriptive statistics

Standard deviation0.7676112098
Coefficient of variation (CV)4.788469514
Kurtosis1.135741836
Mean0.160304082
Median Absolute Deviation (MAD)0.3806297471
Skewness-0.8557485492
Sum1.763344902
Variance0.5892269694
MonotonicityNot monotonic
2025-03-30T10:49:29.441309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.6286437078 1
9.1%
-0.05077200927 1
9.1%
-1.509358591 1
9.1%
0.3298577379 1
9.1%
0.08973696015 1
9.1%
-0.2348632676 1
9.1%
0.3609640972 1
9.1%
1.114233075 1
9.1%
0.4855560172 1
9.1%
-0.6109112994 1
9.1%
ValueCountFrequency (%)
-1.509358591 1
9.1%
-0.6109112994 1
9.1%
-0.2348632676 1
9.1%
-0.05077200927 1
9.1%
0.08973696015 1
9.1%
ValueCountFrequency (%)
1.160258475 1
9.1%
1.114233075 1
9.1%
0.6286437078 1
9.1%
0.4855560172 1
9.1%
0.3609640972 1
9.1%

ustrecpiret
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2380557512
Minimum-0.5571607444
Maximum1.147205688
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)27.3%
Memory size176.0 B
2025-03-30T10:49:29.842103image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.5571607444
5-th percentile-0.446129878
Q1-0.05376573094
median0.1666531811
Q30.4959580031
95-th percentile1.112321617
Maximum1.147205688
Range1.704366432
Interquartile range (IQR)0.5497237341

Descriptive statistics

Standard deviation0.5432796448
Coefficient of variation (CV)2.282152992
Kurtosis-0.4555423111
Mean0.2380557512
Median Absolute Deviation (MAD)0.2879827207
Skewness0.5343847776
Sum2.618613263
Variance0.2951527725
MonotonicityNot monotonic
2025-03-30T10:49:30.252110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.077437546 1
9.1%
1.147205688 1
9.1%
-0.3350990117 1
9.1%
0.2685014625 1
9.1%
0.1863995851 1
9.1%
0.7234145438 1
9.1%
0.04879247562 1
9.1%
-0.1213295396 1
9.1%
0.1666531811 1
9.1%
-0.5571607444 1
9.1%
ValueCountFrequency (%)
-0.5571607444 1
9.1%
-0.3350990117 1
9.1%
-0.1213295396 1
9.1%
0.01379807773 1
9.1%
0.04879247562 1
9.1%
ValueCountFrequency (%)
1.147205688 1
9.1%
1.077437546 1
9.1%
0.7234145438 1
9.1%
0.2685014625 1
9.1%
0.1863995851 1
9.1%

ajexm
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4132794186
Minimum-1.896621055
Maximum2.400398278
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)27.3%
Memory size176.0 B
2025-03-30T10:49:30.665200image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.896621055
5-th percentile-1.161507443
Q1-0.1291530195
median0.3869862984
Q31.045729311
95-th percentile1.981086881
Maximum2.400398278
Range4.297019333
Interquartile range (IQR)1.17488233

Descriptive statistics

Standard deviation1.13490169
Coefficient of variation (CV)2.746088091
Kurtosis1.037777459
Mean0.4132794186
Median Absolute Deviation (MAD)0.6869078718
Skewness-0.3036685639
Sum4.546073605
Variance1.288001845
MonotonicityNot monotonic
2025-03-30T10:49:31.048616image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.1553674531 1
9.1%
1.07389417 1
9.1%
0.4113570121 1
9.1%
-1.896621055 1
9.1%
2.400398278 1
9.1%
0.2754188354 1
9.1%
1.017564452 1
9.1%
-0.4263938315 1
9.1%
1.561775485 1
9.1%
0.3869862984 1
9.1%
ValueCountFrequency (%)
-1.896621055 1
9.1%
-0.4263938315 1
9.1%
-0.4136734921 1
9.1%
0.1553674531 1
9.1%
0.2754188354 1
9.1%
ValueCountFrequency (%)
2.400398278 1
9.1%
1.561775485 1
9.1%
1.07389417 1
9.1%
1.017564452 1
9.1%
0.4113570121 1
9.1%

ajpm
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0378575815
Minimum-1.500677367
Maximum1.850616585
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:31.417422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.500677367
5-th percentile-1.424116117
Q1-0.8702230493
median-0.5368924444
Q30.8527288556
95-th percentile1.687604807
Maximum1.850616585
Range3.351293952
Interquartile range (IQR)1.722951905

Descriptive statistics

Standard deviation1.173059853
Coefficient of variation (CV)-30.98612764
Kurtosis-1.32758728
Mean-0.0378575815
Median Absolute Deviation (MAD)0.849701957
Skewness0.4106817441
Sum-0.4164333965
Variance1.376069418
MonotonicityNot monotonic
2025-03-30T10:49:31.793882image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.3128095126 1
9.1%
0.5956557756 1
9.1%
-0.5368924444 1
9.1%
-0.6843394575 1
9.1%
1.850616585 1
9.1%
1.52459303 1
9.1%
-0.914329597 1
9.1%
-0.8261165015 1
9.1%
1.109801936 1
9.1%
-1.500677367 1
9.1%
ValueCountFrequency (%)
-1.500677367 1
9.1%
-1.347554867 1
9.1%
-0.914329597 1
9.1%
-0.8261165015 1
9.1%
-0.6843394575 1
9.1%
ValueCountFrequency (%)
1.850616585 1
9.1%
1.52459303 1
9.1%
1.109801936 1
9.1%
0.5956557756 1
9.1%
0.3128095126 1
9.1%

cshtrm
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4278467428
Minimum-2.068563521
Maximum1.523601814
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:49:32.193180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.068563521
5-th percentile-1.90186108
Q1-0.9183313415
median-0.676368323
Q30.2884104032
95-th percentile1.108368508
Maximum1.523601814
Range3.592165335
Interquartile range (IQR)1.206741745

Descriptive statistics

Standard deviation1.058597677
Coefficient of variation (CV)-2.474245029
Kurtosis-0.2107289852
Mean-0.4278467428
Median Absolute Deviation (MAD)0.804807028
Skewness0.2799678712
Sum-4.706314171
Variance1.120629041
MonotonicityNot monotonic
2025-03-30T10:49:32.638709image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.4454763942 1
9.1%
0.4483821015 1
9.1%
-2.068563521 1
9.1%
-0.8085712391 1
9.1%
-1.735158638 1
9.1%
1.523601814 1
9.1%
-0.676368323 1
9.1%
-1.028091444 1
9.1%
0.128438705 1
9.1%
0.6931352021 1
9.1%
ValueCountFrequency (%)
-2.068563521 1
9.1%
-1.735158638 1
9.1%
-1.028091444 1
9.1%
-0.8085712391 1
9.1%
-0.7376424335 1
9.1%
ValueCountFrequency (%)
1.523601814 1
9.1%
0.6931352021 1
9.1%
0.4483821015 1
9.1%
0.128438705 1
9.1%
-0.4454763942 1
9.1%

prccm
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0210475637
Minimum-2.395136219
Maximum1.600646957
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:33.071628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.395136219
5-th percentile-1.770111622
Q1-0.5823950336
median-0.05876692095
Q30.8920505252
95-th percentile1.498401378
Maximum1.600646957
Range3.995783176
Interquartile range (IQR)1.474445559

Descriptive statistics

Standard deviation1.191215149
Coefficient of variation (CV)56.59634372
Kurtosis0.1873305046
Mean0.0210475637
Median Absolute Deviation (MAD)0.8534958195
Skewness-0.6178391764
Sum0.2315232007
Variance1.418993532
MonotonicityNot monotonic
2025-03-30T10:49:33.504919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.026239082 1
9.1%
-0.2525273268 1
9.1%
0.3141211747 1
9.1%
-0.9122627404 1
9.1%
1.396155798 1
9.1%
-0.09972154783 1
9.1%
0.7578619684 1
9.1%
1.600646957 1
9.1%
-1.145087025 1
9.1%
-0.05876692095 1
9.1%
ValueCountFrequency (%)
-2.395136219 1
9.1%
-1.145087025 1
9.1%
-0.9122627404 1
9.1%
-0.2525273268 1
9.1%
-0.09972154783 1
9.1%
ValueCountFrequency (%)
1.600646957 1
9.1%
1.396155798 1
9.1%
1.026239082 1
9.1%
0.7578619684 1
9.1%
0.3141211747 1
9.1%

prchm
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1859380198
Minimum-1.346516688
Maximum1.928859434
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:49:33.898084image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.346516688
5-th percentile-1.219753401
Q1-0.8721739754
median-0.551500406
Q30.5467867227
95-th percentile1.363722568
Maximum1.928859434
Range3.275376122
Interquartile range (IQR)1.418960698

Descriptive statistics

Standard deviation1.007109926
Coefficient of variation (CV)-5.416374377
Kurtosis0.2468084191
Mean-0.1859380198
Median Absolute Deviation (MAD)0.5414897075
Skewness0.9453868389
Sum-2.045318218
Variance1.014270404
MonotonicityNot monotonic
2025-03-30T10:49:34.299318image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.5014150469 1
9.1%
-1.078732899 1
9.1%
-0.551500406 1
9.1%
0.5317752812 1
9.1%
-0.6656150515 1
9.1%
-1.346516688 1
9.1%
0.5617981643 1
9.1%
-1.092990113 1
9.1%
0.7985857026 1
9.1%
1.928859434 1
9.1%
ValueCountFrequency (%)
-1.346516688 1
9.1%
-1.092990113 1
9.1%
-1.078732899 1
9.1%
-0.6656150515 1
9.1%
-0.6295665948 1
9.1%
ValueCountFrequency (%)
1.928859434 1
9.1%
0.7985857026 1
9.1%
0.5617981643 1
9.1%
0.5317752812 1
9.1%
-0.5014150469 1
9.1%

prclm
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07192412506
Minimum-0.891775831
Maximum1.444112203
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:34.726613image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.891775831
5-th percentile-0.7802713804
Q1-0.2895042384
median-0.1839115173
Q30.4221244172
95-th percentile1.242759249
Maximum1.444112203
Range2.335888034
Interquartile range (IQR)0.7116286556

Descriptive statistics

Standard deviation0.706090889
Coefficient of variation (CV)9.817163412
Kurtosis0.02695357143
Mean0.07192412506
Median Absolute Deviation (MAD)0.4848554125
Skewness0.7513958148
Sum0.7911653757
Variance0.4985643435
MonotonicityNot monotonic
2025-03-30T10:49:35.135840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.6687669298 1
9.1%
1.041406296 1
9.1%
0.005087032181 1
9.1%
0.5269028287 1
9.1%
0.3173460058 1
9.1%
-0.3189783023 1
9.1%
1.444112203 1
9.1%
-0.2600301745 1
9.1%
-0.891775831 1
9.1%
-0.2202262346 1
9.1%
ValueCountFrequency (%)
-0.891775831 1
9.1%
-0.6687669298 1
9.1%
-0.3189783023 1
9.1%
-0.2600301745 1
9.1%
-0.2202262346 1
9.1%
ValueCountFrequency (%)
1.444112203 1
9.1%
1.041406296 1
9.1%
0.5269028287 1
9.1%
0.3173460058 1
9.1%
0.005087032181 1
9.1%

trfm
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1814637194
Minimum-1.110893393
Maximum2.322461434
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:35.536272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.110893393
5-th percentile-0.9458375391
Q1-0.6416764829
median-0.1230928716
Q30.7407455447
95-th percentile1.798462282
Maximum2.322461434
Range3.433354826
Interquartile range (IQR)1.382422028

Descriptive statistics

Standard deviation1.038734918
Coefficient of variation (CV)5.724201627
Kurtosis0.1684676696
Mean0.1814637194
Median Absolute Deviation (MAD)0.6464478035
Skewness0.7984748799
Sum1.996100914
Variance1.07897023
MonotonicityNot monotonic
2025-03-30T10:49:35.936944image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.9581361576 1
9.1%
0.5233549318 1
9.1%
0.4315315012 1
9.1%
-0.5259111206 1
9.1%
-1.110893393 1
9.1%
-0.1230928716 1
9.1%
1.27446313 1
9.1%
-0.7807816854 1
9.1%
2.322461434 1
9.1%
-0.2157253249 1
9.1%
ValueCountFrequency (%)
-1.110893393 1
9.1%
-0.7807816854 1
9.1%
-0.7574418451 1
9.1%
-0.5259111206 1
9.1%
-0.2157253249 1
9.1%
ValueCountFrequency (%)
2.322461434 1
9.1%
1.27446313 1
9.1%
0.9581361576 1
9.1%
0.5233549318 1
9.1%
0.4315315012 1
9.1%

trt1m
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4840698801
Minimum-2.450035302
Maximum1.146612731
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:49:36.320440image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.450035302
5-th percentile-2.066024267
Q1-1.350459563
median-0.2649117848
Q30.2740553227
95-th percentile1.095165838
Maximum1.146612731
Range3.596648033
Interquartile range (IQR)1.624514885

Descriptive statistics

Standard deviation1.159285561
Coefficient of variation (CV)-2.394872329
Kurtosis-0.9685642634
Mean-0.4840698801
Median Absolute Deviation (MAD)0.9770003338
Skewness-0.1482829727
Sum-5.324768681
Variance1.343943012
MonotonicityNot monotonic
2025-03-30T10:49:36.709698image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.241912119 1
9.1%
1.146612731 1
9.1%
-1.682013232 1
9.1%
-0.2649117848 1
9.1%
-2.450035302 1
9.1%
0.2471329322 1
9.1%
-0.9421538552 1
9.1%
-1.459007006 1
9.1%
-0.02317770478 1
9.1%
1.043718946 1
9.1%
ValueCountFrequency (%)
-2.450035302 1
9.1%
-1.682013232 1
9.1%
-1.459007006 1
9.1%
-1.241912119 1
9.1%
-0.9421538552 1
9.1%
ValueCountFrequency (%)
1.146612731 1
9.1%
1.043718946 1
9.1%
0.3009777132 1
9.1%
0.2471329322 1
9.1%
-0.02317770478 1
9.1%

index_y
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5038500138
Minimum-0.8591862979
Maximum1.915219636
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)27.3%
Memory size176.0 B
2025-03-30T10:49:37.112947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8591862979
5-th percentile-0.5345315827
Q1-0.03330073362
median0.2736598851
Q31.017006428
95-th percentile1.650798721
Maximum1.915219636
Range2.774405934
Interquartile range (IQR)1.050307161

Descriptive statistics

Standard deviation0.8068018485
Coefficient of variation (CV)1.601273844
Kurtosis-0.4147053793
Mean0.5038500138
Median Absolute Deviation (MAD)0.5588942541
Skewness0.1191827664
Sum5.542350152
Variance0.6509292227
MonotonicityNot monotonic
2025-03-30T10:49:37.459314image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.2361904615 1
9.1%
0.8325541392 1
9.1%
-0.1646593797 1
9.1%
0.2736598851 1
9.1%
1.004921719 1
9.1%
0.09805791247 1
9.1%
-0.8591862979 1
9.1%
-0.2098768676 1
9.1%
1.915219636 1
9.1%
1.386377807 1
9.1%
ValueCountFrequency (%)
-0.8591862979 1
9.1%
-0.2098768676 1
9.1%
-0.1646593797 1
9.1%
0.09805791247 1
9.1%
0.2361904615 1
9.1%
ValueCountFrequency (%)
1.915219636 1
9.1%
1.386377807 1
9.1%
1.029091137 1
9.1%
1.004921719 1
9.1%
0.8325541392 1
9.1%

CAPEI
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03387844993
Minimum-2.421891997
Maximum2.781871805
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:37.848608image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.421891997
5-th percentile-1.803566468
Q1-0.6327593373
median-0.03680684597
Q30.724774583
95-th percentile1.808136418
Maximum2.781871805
Range5.203763803
Interquartile range (IQR)1.35753392

Descriptive statistics

Standard deviation1.343388808
Coefficient of variation (CV)39.65319578
Kurtosis1.306576108
Mean0.03387844993
Median Absolute Deviation (MAD)0.8127142997
Skewness0.2332230576
Sum0.3726629493
Variance1.80469349
MonotonicityNot monotonic
2025-03-30T10:49:38.247164image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.4159975289 1
9.1%
0.83440103 1
9.1%
-0.3242207849 1
9.1%
0.7961711515 1
9.1%
-0.8495211457 1
9.1%
0.5405201893 1
9.1%
-0.03680684597 1
9.1%
0.6533780145 1
9.1%
-2.421891997 1
9.1%
2.781871805 1
9.1%
ValueCountFrequency (%)
-2.421891997 1
9.1%
-1.185240939 1
9.1%
-0.8495211457 1
9.1%
-0.4159975289 1
9.1%
-0.3242207849 1
9.1%
ValueCountFrequency (%)
2.781871805 1
9.1%
0.83440103 1
9.1%
0.7961711515 1
9.1%
0.6533780145 1
9.1%
0.5405201893 1
9.1%

bm
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3118115003
Minimum-1.830336501
Maximum2.147247168
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:49:38.629276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.830336501
5-th percentile-1.597263364
Q1-1.026455616
median-0.4424652557
Q30.1639479963
95-th percentile1.459295874
Maximum2.147247168
Range3.977583669
Interquartile range (IQR)1.190403612

Descriptive statistics

Standard deviation1.11056461
Coefficient of variation (CV)-3.561653785
Kurtosis1.27909169
Mean-0.3118115003
Median Absolute Deviation (MAD)0.6379058794
Skewness0.9718559323
Sum-3.429926503
Variance1.233353754
MonotonicityNot monotonic
2025-03-30T10:49:39.041157image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.830336501 1
9.1%
2.147247168 1
9.1%
-0.9725400967 1
9.1%
0.256380628 1
9.1%
-0.7381835789 1
9.1%
-0.4424652557 1
9.1%
-0.2483274483 1
9.1%
0.7713445792 1
9.1%
-1.080371135 1
9.1%
-1.364190227 1
9.1%
ValueCountFrequency (%)
-1.830336501 1
9.1%
-1.364190227 1
9.1%
-1.080371135 1
9.1%
-0.9725400967 1
9.1%
-0.7381835789 1
9.1%
ValueCountFrequency (%)
2.147247168 1
9.1%
0.7713445792 1
9.1%
0.256380628 1
9.1%
0.0715153645 1
9.1%
-0.2483274483 1
9.1%

evm
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03048921636
Minimum-1.220085793
Maximum2.31353344
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:49:39.459684image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.220085793
5-th percentile-1.007149879
Q1-0.5405749686
median-0.1310147455
Q30.3702084808
95-th percentile1.600915857
Maximum2.31353344
Range3.533619234
Interquartile range (IQR)0.9107834494

Descriptive statistics

Standard deviation0.9723159301
Coefficient of variation (CV)31.89048609
Kurtosis2.203450745
Mean0.03048921636
Median Absolute Deviation (MAD)0.4741292632
Skewness1.311273952
Sum0.3353813799
Variance0.9453982679
MonotonicityNot monotonic
2025-03-30T10:49:39.892011image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.6051440087 1
9.1%
0.04981709018 1
9.1%
0.8882982739 1
9.1%
0.6905998714 1
9.1%
-0.4760059285 1
9.1%
2.31353344 1
9.1%
-0.7942139638 1
9.1%
-0.3344293018 1
9.1%
-1.220085793 1
9.1%
-0.0459735543 1
9.1%
ValueCountFrequency (%)
-1.220085793 1
9.1%
-0.7942139638 1
9.1%
-0.6051440087 1
9.1%
-0.4760059285 1
9.1%
-0.3344293018 1
9.1%
ValueCountFrequency (%)
2.31353344 1
9.1%
0.8882982739 1
9.1%
0.6905998714 1
9.1%
0.04981709018 1
9.1%
-0.0459735543 1
9.1%

pe_op_basic
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.359013622
Minimum-1.661970738
Maximum1.044498033
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:49:40.313078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.661970738
5-th percentile-1.48706347
Q1-0.8515089171
median-0.4222145849
Q30.1393697626
95-th percentile0.9589388679
Maximum1.044498033
Range2.70646877
Interquartile range (IQR)0.9908786796

Descriptive statistics

Standard deviation0.8498374511
Coefficient of variation (CV)-2.36714542
Kurtosis-0.5702176744
Mean-0.359013622
Median Absolute Deviation (MAD)0.4463623147
Skewness0.32486601
Sum-3.949149842
Variance0.7222236933
MonotonicityNot monotonic
2025-03-30T10:49:40.718677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.661970738 1
9.1%
-0.03223168876 1
9.1%
-0.8344409345 1
9.1%
-0.6418576191 1
9.1%
-0.4222145849 1
9.1%
0.3109712139 1
9.1%
1.044498033 1
9.1%
-0.4045501249 1
9.1%
-0.8685768996 1
9.1%
0.8733797031 1
9.1%
ValueCountFrequency (%)
-1.661970738 1
9.1%
-1.312156202 1
9.1%
-0.8685768996 1
9.1%
-0.8344409345 1
9.1%
-0.6418576191 1
9.1%
ValueCountFrequency (%)
1.044498033 1
9.1%
0.8733797031 1
9.1%
0.3109712139 1
9.1%
-0.03223168876 1
9.1%
-0.4045501249 1
9.1%

pe_op_dil
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4626888948
Minimum-2.457107113
Maximum1.070117304
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:41.102055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.457107113
5-th percentile-2.290699084
Q1-1.278262714
median-0.0581309813
Q30.2172307376
95-th percentile1.047958362
Maximum1.070117304
Range3.527224418
Interquartile range (IQR)1.495493452

Descriptive statistics

Standard deviation1.199918949
Coefficient of variation (CV)-2.593360166
Kurtosis-0.9143910726
Mean-0.4626888948
Median Absolute Deviation (MAD)0.8023396081
Skewness-0.4726282655
Sum-5.089577843
Variance1.439805484
MonotonicityNot monotonic
2025-03-30T10:49:41.478372image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-2.457107113 1
9.1%
-0.0581309813 1
9.1%
-0.5274355145 1
9.1%
1.070117304 1
9.1%
-0.8604705894 1
9.1%
-2.124291055 1
9.1%
0.1866867733 1
9.1%
-1.69605484 1
9.1%
0.1035340507 1
9.1%
1.02579942 1
9.1%
ValueCountFrequency (%)
-2.457107113 1
9.1%
-2.124291055 1
9.1%
-1.69605484 1
9.1%
-0.8604705894 1
9.1%
-0.5274355145 1
9.1%
ValueCountFrequency (%)
1.070117304 1
9.1%
1.02579942 1
9.1%
0.2477747019 1
9.1%
0.1866867733 1
9.1%
0.1035340507 1
9.1%

pe_exi
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1643634199
Minimum-0.9032059231
Maximum1.564824582
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:41.876124image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9032059231
5-th percentile-0.7881629603
Q1-0.4838574836
median0.2635372569
Q30.5445909848
95-th percentile1.348847003
Maximum1.564824582
Range2.468030505
Interquartile range (IQR)1.028448468

Descriptive statistics

Standard deviation0.7741425665
Coefficient of variation (CV)4.709944385
Kurtosis-0.6255848534
Mean0.1643634199
Median Absolute Deviation (MAD)0.730786829
Skewness0.378650313
Sum1.807997619
Variance0.5992967133
MonotonicityNot monotonic
2025-03-30T10:49:42.268459image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.9032059231 1
9.1%
0.648931056 1
9.1%
0.2635372569 1
9.1%
1.564824582 1
9.1%
-0.6731199975 1
9.1%
0.4402509136 1
9.1%
-0.06194812549 1
9.1%
1.132869424 1
9.1%
0.3635733992 1
9.1%
-0.5004653951 1
9.1%
ValueCountFrequency (%)
-0.9032059231 1
9.1%
-0.6731199975 1
9.1%
-0.5004653951 1
9.1%
-0.4672495721 1
9.1%
-0.06194812549 1
9.1%
ValueCountFrequency (%)
1.564824582 1
9.1%
1.132869424 1
9.1%
0.648931056 1
9.1%
0.4402509136 1
9.1%
0.3635733992 1
9.1%

pe_inc
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2832361315
Minimum-0.9721682061
Maximum0.4782608887
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:49:42.659042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9721682061
5-th percentile-0.829260392
Q1-0.6076187342
median-0.4302741217
Q30.008115607519
95-th percentile0.3544796603
Maximum0.4782608887
Range1.450429095
Interquartile range (IQR)0.6157343417

Descriptive statistics

Standard deviation0.4417780622
Coefficient of variation (CV)-1.559751787
Kurtosis-0.7929840706
Mean-0.2832361315
Median Absolute Deviation (MAD)0.3349506736
Skewness0.2439462934
Sum-3.115597447
Variance0.1951678563
MonotonicityNot monotonic
2025-03-30T10:49:43.064712image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.4302741217 1
9.1%
-0.9721682061 1
9.1%
0.4782608887 1
9.1%
0.2306984319 1
9.1%
-0.4414321602 1
9.1%
-0.6863525778 1
9.1%
0.07121420733 1
9.1%
-0.05498299229 1
9.1%
-0.09532344809 1
9.1%
-0.6217931434 1
9.1%
ValueCountFrequency (%)
-0.9721682061 1
9.1%
-0.6863525778 1
9.1%
-0.6217931434 1
9.1%
-0.5934443249 1
9.1%
-0.4414321602 1
9.1%
ValueCountFrequency (%)
0.4782608887 1
9.1%
0.2306984319 1
9.1%
0.07121420733 1
9.1%
-0.05498299229 1
9.1%
-0.09532344809 1
9.1%

ps
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6606874556
Minimum-1.98828498
Maximum0.5681022771
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)81.8%
Memory size176.0 B
2025-03-30T10:49:43.477672image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.98828498
5-th percentile-1.899635673
Q1-1.180373336
median-0.4614638759
Q3-0.3109858566
95-th percentile0.5532605383
Maximum0.5681022771
Range2.556387257
Interquartile range (IQR)0.8693874794

Descriptive statistics

Standard deviation0.8388780666
Coefficient of variation (CV)-1.26970485
Kurtosis-0.6241981339
Mean-0.6606874556
Median Absolute Deviation (MAD)0.4884351933
Skewness-0.1268219804
Sum-7.267562011
Variance0.7037164107
MonotonicityNot monotonic
2025-03-30T10:49:43.876040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.98828498 1
9.1%
0.5681022771 1
9.1%
-1.410847603 1
9.1%
-1.810986366 1
9.1%
-0.4614638759 1
9.1%
0.5384187995 1
9.1%
-0.3703394465 1
9.1%
-0.4107384526 1
9.1%
-0.7198910287 1
9.1%
-0.9498990692 1
9.1%
ValueCountFrequency (%)
-1.98828498 1
9.1%
-1.810986366 1
9.1%
-1.410847603 1
9.1%
-0.9498990692 1
9.1%
-0.7198910287 1
9.1%
ValueCountFrequency (%)
0.5681022771 1
9.1%
0.5384187995 1
9.1%
-0.2516322667 1
9.1%
-0.3703394465 1
9.1%
-0.4107384526 1
9.1%

pcf
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06245961918
Minimum-1.170778469
Maximum0.7709987615
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:44.258125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.170778469
5-th percentile-0.9662759113
Q1-0.548225445
median0.07691900228
Q30.4385228927
95-th percentile0.7584361952
Maximum0.7709987615
Range1.94177723
Interquartile range (IQR)0.9867483377

Descriptive statistics

Standard deviation0.6477253577
Coefficient of variation (CV)-10.37030591
Kurtosis-1.113823471
Mean-0.06245961918
Median Absolute Deviation (MAD)0.5246679245
Skewness-0.2703995387
Sum-0.687055811
Variance0.4195481391
MonotonicityNot monotonic
2025-03-30T10:49:44.677012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.170778469 1
9.1%
0.07691900228 1
9.1%
0.4292616575 1
9.1%
-0.3056035802 1
9.1%
-0.4477489223 1
9.1%
0.1767133037 1
9.1%
-0.6487019678 1
9.1%
0.745873629 1
9.1%
0.7709987615 1
9.1%
0.4477841278 1
9.1%
ValueCountFrequency (%)
-1.170778469 1
9.1%
-0.7617733539 1
9.1%
-0.6487019678 1
9.1%
-0.4477489223 1
9.1%
-0.3056035802 1
9.1%
ValueCountFrequency (%)
0.7709987615 1
9.1%
0.745873629 1
9.1%
0.4477841278 1
9.1%
0.4292616575 1
9.1%
0.1767133037 1
9.1%

npm
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4205890603
Minimum-1.092882314
Maximum3.101186718
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:49:45.077526image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.092882314
5-th percentile-0.7967687662
Q1-0.2561573472
median0.392063612
Q30.7039168524
95-th percentile2.077570172
Maximum3.101186718
Range4.194069032
Interquartile range (IQR)0.9600741996

Descriptive statistics

Standard deviation1.087457735
Coefficient of variation (CV)2.585558773
Kurtosis3.465483668
Mean0.4205890603
Median Absolute Deviation (MAD)0.5882390767
Skewness1.395749398
Sum4.626479664
Variance1.182564325
MonotonicityNot monotonic
2025-03-30T10:49:45.459495image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.3161392296 1
9.1%
-0.1961754647 1
9.1%
1.053953625 1
9.1%
0.7723020551 1
9.1%
-1.092882314 1
9.1%
0.392063612 1
9.1%
0.4315334786 1
9.1%
0.3457607517 1
9.1%
-0.500655218 1
9.1%
0.6355316497 1
9.1%
ValueCountFrequency (%)
-1.092882314 1
9.1%
-0.500655218 1
9.1%
-0.3161392296 1
9.1%
-0.1961754647 1
9.1%
0.3457607517 1
9.1%
ValueCountFrequency (%)
3.101186718 1
9.1%
1.053953625 1
9.1%
0.7723020551 1
9.1%
0.6355316497 1
9.1%
0.4315334786 1
9.1%

opmbd
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1841776929
Minimum-1.232705521
Maximum0.7539155447
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:45.832884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.232705521
5-th percentile-1.139331502
Q1-0.7381081055
median0.05819162799
Q30.1875717918
95-th percentile0.6434341329
Maximum0.7539155447
Range1.986621065
Interquartile range (IQR)0.9256798974

Descriptive statistics

Standard deviation0.6594104775
Coefficient of variation (CV)-3.580295024
Kurtosis-1.093457572
Mean-0.1841776929
Median Absolute Deviation (MAD)0.474761093
Skewness-0.3879948178
Sum-2.025954622
Variance0.4348221779
MonotonicityNot monotonic
2025-03-30T10:49:46.249948image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.9250837432 1
9.1%
0.1506453788 1
9.1%
0.2244982049 1
9.1%
0.532952721 1
9.1%
0.7539155447 1
9.1%
0.1025835688 1
9.1%
-1.232705521 1
9.1%
-0.5511324679 1
9.1%
0.05819162799 1
9.1%
-1.045957484 1
9.1%
ValueCountFrequency (%)
-1.232705521 1
9.1%
-1.045957484 1
9.1%
-0.9250837432 1
9.1%
-0.5511324679 1
9.1%
-0.0938624531 1
9.1%
ValueCountFrequency (%)
0.7539155447 1
9.1%
0.532952721 1
9.1%
0.2244982049 1
9.1%
0.1506453788 1
9.1%
0.1025835688 1
9.1%

opmad
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5036246278
Minimum-1.8753784
Maximum1.054707158
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:49:46.683060image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.8753784
5-th percentile-1.839782755
Q1-1.239667196
median-0.3024116696
Q30.01179155929
95-th percentile1.040965797
Maximum1.054707158
Range2.930085557
Interquartile range (IQR)1.251458755

Descriptive statistics

Standard deviation1.021056184
Coefficient of variation (CV)-2.027415117
Kurtosis-1.012184403
Mean-0.5036246278
Median Absolute Deviation (MAD)0.9091761486
Skewness0.2380182648
Sum-5.539870906
Variance1.042555731
MonotonicityNot monotonic
2025-03-30T10:49:47.059109image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.1756701208 1
9.1%
1.054707158 1
9.1%
-1.211587818 1
9.1%
-1.008403926 1
9.1%
-0.3024116696 1
9.1%
-0.1632005077 1
9.1%
-1.267746574 1
9.1%
-1.80418711 1
9.1%
-1.8753784 1
9.1%
0.1867836263 1
9.1%
ValueCountFrequency (%)
-1.8753784 1
9.1%
-1.80418711 1
9.1%
-1.267746574 1
9.1%
-1.211587818 1
9.1%
-1.008403926 1
9.1%
ValueCountFrequency (%)
1.054707158 1
9.1%
1.027224436 1
9.1%
0.1867836263 1
9.1%
-0.1632005077 1
9.1%
-0.1756701208 1
9.1%

gpm
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04281026992
Minimum-1.93171638
Maximum2.07118746
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:47.455701image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.93171638
5-th percentile-1.651531115
Q1-1.223603833
median-0.1365186554
Q30.8016237993
95-th percentile1.872715797
Maximum2.07118746
Range4.002903841
Interquartile range (IQR)2.025227633

Descriptive statistics

Standard deviation1.341851011
Coefficient of variation (CV)-31.34413806
Kurtosis-1.323361766
Mean-0.04281026992
Median Absolute Deviation (MAD)0.9540621976
Skewness0.1727127295
Sum-0.4709129691
Variance1.800564135
MonotonicityNot monotonic
2025-03-30T10:49:47.895225image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.674244133 1
9.1%
-0.1365186554 1
9.1%
0.7857040563 1
9.1%
0.8175435423 1
9.1%
0.7328491297 1
9.1%
-1.078943907 1
9.1%
-1.36826376 1
9.1%
-1.371345849 1
9.1%
2.07118746 1
9.1%
-1.93171638 1
9.1%
ValueCountFrequency (%)
-1.93171638 1
9.1%
-1.371345849 1
9.1%
-1.36826376 1
9.1%
-1.078943907 1
9.1%
-0.6656527395 1
9.1%
ValueCountFrequency (%)
2.07118746 1
9.1%
1.674244133 1
9.1%
0.8175435423 1
9.1%
0.7857040563 1
9.1%
0.7328491297 1
9.1%

ptpm
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5081201137
Minimum-1.756410706
Maximum2.758777248
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:49:48.339033image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.756410706
5-th percentile-1.022363788
Q1-0.07145830186
median0.4379565068
Q31.076133082
95-th percentile2.107242088
Maximum2.758777248
Range4.515187954
Interquartile range (IQR)1.147591384

Descriptive statistics

Standard deviation1.157203154
Coefficient of variation (CV)2.277420481
Kurtosis1.319928592
Mean0.5081201137
Median Absolute Deviation (MAD)0.5897163628
Skewness0.007558955627
Sum5.58932125
Variance1.339119139
MonotonicityNot monotonic
2025-03-30T10:49:48.694322image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.8969765383 1
9.1%
0.4379565068 1
9.1%
1.02767287 1
9.1%
-1.756410706 1
9.1%
-0.06359048523 1
9.1%
1.455706928 1
9.1%
1.124593295 1
9.1%
-0.2883168697 1
9.1%
2.758777248 1
9.1%
-0.07932611849 1
9.1%
ValueCountFrequency (%)
-1.756410706 1
9.1%
-0.2883168697 1
9.1%
-0.07932611849 1
9.1%
-0.06359048523 1
9.1%
0.07528204464 1
9.1%
ValueCountFrequency (%)
2.758777248 1
9.1%
1.455706928 1
9.1%
1.124593295 1
9.1%
1.02767287 1
9.1%
0.8969765383 1
9.1%

cfm
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3160013165
Minimum-3.100518315
Maximum1.915750565
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:49:49.061185image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.100518315
5-th percentile-2.465280384
Q1-0.7350018748
median-0.5426454878
Q30.2876481125
95-th percentile1.905585786
Maximum1.915750565
Range5.01626888
Interquartile range (IQR)1.022649987

Descriptive statistics

Standard deviation1.465916113
Coefficient of variation (CV)-4.638955714
Kurtosis0.409781892
Mean-0.3160013165
Median Absolute Deviation (MAD)0.4089810322
Skewness-0.08656937147
Sum-3.476014482
Variance2.148910051
MonotonicityNot monotonic
2025-03-30T10:49:49.460824image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.7287966144 1
9.1%
-0.7412071352 1
9.1%
1.915750565 1
9.1%
-1.830042453 1
9.1%
-0.3104439805 1
9.1%
-0.5426454878 1
9.1%
-0.6088282925 1
9.1%
0.7089606807 1
9.1%
-0.1336644556 1
9.1%
-3.100518315 1
9.1%
ValueCountFrequency (%)
-3.100518315 1
9.1%
-1.830042453 1
9.1%
-0.7412071352 1
9.1%
-0.7287966144 1
9.1%
-0.6088282925 1
9.1%
ValueCountFrequency (%)
1.915750565 1
9.1%
1.895421007 1
9.1%
0.7089606807 1
9.1%
-0.1336644556 1
9.1%
-0.3104439805 1
9.1%

roa
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1522496761
Minimum-1.097341424
Maximum1.861874531
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:49.810365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.097341424
5-th percentile-0.8531580925
Q1-0.5165910915
median-0.01819704753
Q30.5878700362
95-th percentile1.555018671
Maximum1.861874531
Range2.959215955
Interquartile range (IQR)1.104461128

Descriptive statistics

Standard deviation0.8822077155
Coefficient of variation (CV)5.794480083
Kurtosis-0.1047638181
Mean0.1522496761
Median Absolute Deviation (MAD)0.5547991437
Skewness0.6472880495
Sum1.674746437
Variance0.7782904534
MonotonicityNot monotonic
2025-03-30T10:49:50.224990image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.2430491403 1
9.1%
-0.01819704753 1
9.1%
1.248162811 1
9.1%
-1.097341424 1
9.1%
1.861874531 1
9.1%
-0.4601859918 1
9.1%
-0.5729961913 1
9.1%
0.3247955865 1
9.1%
0.8509444859 1
9.1%
-0.09638470317 1
9.1%
ValueCountFrequency (%)
-1.097341424 1
9.1%
-0.6089747612 1
9.1%
-0.5729961913 1
9.1%
-0.4601859918 1
9.1%
-0.09638470317 1
9.1%
ValueCountFrequency (%)
1.861874531 1
9.1%
1.248162811 1
9.1%
0.8509444859 1
9.1%
0.3247955865 1
9.1%
0.2430491403 1
9.1%

roe
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4076417699
Minimum-0.9223614358
Maximum2.934550334
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:50.648523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9223614358
5-th percentile-0.7120147543
Q1-0.2809683433
median0.2884190749
Q30.6410314755
95-th percentile2.384479751
Maximum2.934550334
Range3.856911769
Interquartile range (IQR)0.9219998188

Descriptive statistics

Standard deviation1.117556947
Coefficient of variation (CV)2.741517258
Kurtosis1.633074266
Mean0.4076417699
Median Absolute Deviation (MAD)0.5414262097
Skewness1.318245086
Sum4.484059469
Variance1.248933531
MonotonicityNot monotonic
2025-03-30T10:49:51.090817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.5016680729 1
9.1%
1.834409169 1
9.1%
-0.2212455066 1
9.1%
0.6192473346 1
9.1%
-0.3089295518 1
9.1%
-0.2530071348 1
9.1%
0.6628156164 1
9.1%
-0.9223614358 1
9.1%
0.2884190749 1
9.1%
0.3518296433 1
9.1%
ValueCountFrequency (%)
-0.9223614358 1
9.1%
-0.5016680729 1
9.1%
-0.3089295518 1
9.1%
-0.2530071348 1
9.1%
-0.2212455066 1
9.1%
ValueCountFrequency (%)
2.934550334 1
9.1%
1.834409169 1
9.1%
0.6628156164 1
9.1%
0.6192473346 1
9.1%
0.3518296433 1
9.1%

roce
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7555818411
Minimum-2.66621791
Maximum0.886755913
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)81.8%
Memory size176.0 B
2025-03-30T10:49:51.479777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.66621791
5-th percentile-2.155946645
Q1-1.333927992
median-0.9049105282
Q3-0.2846213102
95-th percentile0.8262310087
Maximum0.886755913
Range3.552973823
Interquartile range (IQR)1.049306682

Descriptive statistics

Standard deviation1.047151589
Coefficient of variation (CV)-1.385887712
Kurtosis-0.04154251774
Mean-0.7555818411
Median Absolute Deviation (MAD)0.6200933939
Skewness0.001254126309
Sum-8.311400252
Variance1.096526451
MonotonicityNot monotonic
2025-03-30T10:49:51.880223image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.2848171343 1
9.1%
-0.3481571206 1
9.1%
-0.2844254861 1
9.1%
-1.483914444 1
9.1%
-2.66621791 1
9.1%
0.7657061045 1
9.1%
0.886755913 1
9.1%
-1.64567538 1
9.1%
-1.161802726 1
9.1%
-0.9049105282 1
9.1%
ValueCountFrequency (%)
-2.66621791 1
9.1%
-1.64567538 1
9.1%
-1.483914444 1
9.1%
-1.183941541 1
9.1%
-1.161802726 1
9.1%
ValueCountFrequency (%)
0.886755913 1
9.1%
0.7657061045 1
9.1%
-0.2844254861 1
9.1%
-0.2848171343 1
9.1%
-0.3481571206 1
9.1%

aftret_eq
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1190240598
Minimum-1.438514264
Maximum1.81879751
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:52.281009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.438514264
5-th percentile-1.320081582
Q1-0.5641623474
median0.1224219247
Q30.8013515164
95-th percentile1.620376259
Maximum1.81879751
Range3.257311774
Interquartile range (IQR)1.365513864

Descriptive statistics

Standard deviation1.047922524
Coefficient of variation (CV)8.804291551
Kurtosis-0.9350789085
Mean0.1190240598
Median Absolute Deviation (MAD)0.7475513025
Skewness0.1152959276
Sum1.309264658
Variance1.098141616
MonotonicityNot monotonic
2025-03-30T10:49:52.660251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.9704645935 1
9.1%
0.4348979311 1
9.1%
1.81879751 1
9.1%
-0.6251293778 1
9.1%
-1.2016489 1
9.1%
0.6322384393 1
9.1%
1.421955007 1
9.1%
-1.438514264 1
9.1%
-0.3230228892 1
9.1%
0.1224219247 1
9.1%
ValueCountFrequency (%)
-1.438514264 1
9.1%
-1.2016489 1
9.1%
-0.6251293778 1
9.1%
-0.5031953169 1
9.1%
-0.3230228892 1
9.1%
ValueCountFrequency (%)
1.81879751 1
9.1%
1.421955007 1
9.1%
0.9704645935 1
9.1%
0.6322384393 1
9.1%
0.4348979311 1
9.1%

aftret_invcapx
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01312444695
Minimum-0.9600683448
Maximum2.350986616
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:49:53.036175image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9600683448
5-th percentile-0.9457213233
Q1-0.80457207
median-0.5892461966
Q30.63460352
95-th percentile1.934427964
Maximum2.350986616
Range3.311054961
Interquartile range (IQR)1.43917559

Descriptive statistics

Standard deviation1.189521914
Coefficient of variation (CV)-90.63406007
Kurtosis-0.1318460983
Mean-0.01312444695
Median Absolute Deviation (MAD)0.3421281052
Skewness1.211791698
Sum-0.1443689165
Variance1.414962383
MonotonicityNot monotonic
2025-03-30T10:49:53.434502image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.1838440587 1
9.1%
-0.8153958069 1
9.1%
2.350986616 1
9.1%
-0.724447678 1
9.1%
-0.793748333 1
9.1%
1.453051099 1
9.1%
-0.9313743018 1
9.1%
1.517869313 1
9.1%
-0.5892461966 1
9.1%
-0.9600683448 1
9.1%
ValueCountFrequency (%)
-0.9600683448 1
9.1%
-0.9313743018 1
9.1%
-0.8153958069 1
9.1%
-0.793748333 1
9.1%
-0.724447678 1
9.1%
ValueCountFrequency (%)
2.350986616 1
9.1%
1.517869313 1
9.1%
1.453051099 1
9.1%
-0.1838440587 1
9.1%
-0.468151224 1
9.1%

aftret_equity
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04421529039
Minimum-1.648984558
Maximum1.797322871
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:53.799800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.648984558
5-th percentile-1.327283223
Q1-0.4741090161
median-0.02123905758
Q30.7523360457
95-th percentile1.32447092
Maximum1.797322871
Range3.44630743
Interquartile range (IQR)1.226445062

Descriptive statistics

Standard deviation0.9650660688
Coefficient of variation (CV)21.82652337
Kurtosis0.07041402299
Mean0.04421529039
Median Absolute Deviation (MAD)0.7443506694
Skewness0.0340372134
Sum0.4863681942
Variance0.9313525171
MonotonicityNot monotonic
2025-03-30T10:49:54.181000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.8516189687 1
9.1%
-1.648984558 1
9.1%
-1.005581887 1
9.1%
0.7231116118 1
9.1%
0.04736294021 1
9.1%
0.7815604796 1
9.1%
1.797322871 1
9.1%
-0.09058514279 1
9.1%
-0.02123905758 1
9.1%
-0.6397513818 1
9.1%
ValueCountFrequency (%)
-1.648984558 1
9.1%
-1.005581887 1
9.1%
-0.6397513818 1
9.1%
-0.3084666503 1
9.1%
-0.09058514279 1
9.1%
ValueCountFrequency (%)
1.797322871 1
9.1%
0.8516189687 1
9.1%
0.7815604796 1
9.1%
0.7231116118 1
9.1%
0.04736294021 1
9.1%

GProf
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1230827144
Minimum-0.7425112686
Maximum0.8880950643
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:54.557547image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7425112686
5-th percentile-0.6226375955
Q1-0.1849620932
median0.02481433132
Q30.6735566553
95-th percentile0.8490414052
Maximum0.8880950643
Range1.630606333
Interquartile range (IQR)0.8585187486

Descriptive statistics

Standard deviation0.5562636388
Coefficient of variation (CV)4.519429406
Kurtosis-1.280566582
Mean0.1230827144
Median Absolute Deviation (MAD)0.5275782537
Skewness0.1063910647
Sum1.353909858
Variance0.3094292359
MonotonicityNot monotonic
2025-03-30T10:49:54.958638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.1492906117 1
9.1%
-0.5027639224 1
9.1%
-0.1892871336 1
9.1%
-0.1806370528 1
9.1%
0.7476722753 1
9.1%
0.5994410354 1
9.1%
0.8099877461 1
9.1%
-0.7425112686 1
9.1%
0.04838939523 1
9.1%
0.8880950643 1
9.1%
ValueCountFrequency (%)
-0.7425112686 1
9.1%
-0.5027639224 1
9.1%
-0.1892871336 1
9.1%
-0.1806370528 1
9.1%
-0.1492906117 1
9.1%
ValueCountFrequency (%)
0.8880950643 1
9.1%
0.8099877461 1
9.1%
0.7476722753 1
9.1%
0.5994410354 1
9.1%
0.04838939523 1
9.1%

equity_invcap
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.125159364
Minimum-1.330330853
Maximum2.208096296
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:55.359524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.330330853
5-th percentile-1.309840576
Q1-0.4307136287
median0.2621008365
Q30.5201365898
95-th percentile1.68179367
Maximum2.208096296
Range3.538427148
Interquartile range (IQR)0.9508502185

Descriptive statistics

Standard deviation1.031370798
Coefficient of variation (CV)8.24046052
Kurtosis0.4897865006
Mean0.125159364
Median Absolute Deviation (MAD)0.5851855667
Skewness0.440382842
Sum1.376753004
Variance1.063725723
MonotonicityNot monotonic
2025-03-30T10:49:55.766334image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.2621008365 1
9.1%
0.5632686525 1
9.1%
-1.330330853 1
9.1%
2.208096296 1
9.1%
-0.3230847302 1
9.1%
0.477004527 1
9.1%
1.155491045 1
9.1%
-0.1690090301 1
9.1%
-0.5383425272 1
9.1%
0.3609090873 1
9.1%
ValueCountFrequency (%)
-1.330330853 1
9.1%
-1.289350299 1
9.1%
-0.5383425272 1
9.1%
-0.3230847302 1
9.1%
-0.1690090301 1
9.1%
ValueCountFrequency (%)
2.208096296 1
9.1%
1.155491045 1
9.1%
0.5632686525 1
9.1%
0.477004527 1
9.1%
0.3609090873 1
9.1%

debt_invcap
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1011233606
Minimum-1.698032274
Maximum1.696657303
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:49:56.160859image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.698032274
5-th percentile-1.503965955
Q1-0.5753181424
median0.05531581134
Q31.010905815
95-th percentile1.476815772
Maximum1.696657303
Range3.394689578
Interquartile range (IQR)1.586223958

Descriptive statistics

Standard deviation1.092639109
Coefficient of variation (CV)10.80501184
Kurtosis-0.9338943542
Mean0.1011233606
Median Absolute Deviation (MAD)0.8465449502
Skewness-0.1987756703
Sum1.112356967
Variance1.193860222
MonotonicityNot monotonic
2025-03-30T10:49:57.014843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.203692913 1
9.1%
0.8181187172 1
9.1%
-1.698032274 1
9.1%
0.3298388341 1
9.1%
-0.089672659 1
9.1%
-0.359407146 1
9.1%
0.05531581134 1
9.1%
1.256974241 1
9.1%
-0.7912291388 1
9.1%
1.696657303 1
9.1%
ValueCountFrequency (%)
-1.698032274 1
9.1%
-1.309899635 1
9.1%
-0.7912291388 1
9.1%
-0.359407146 1
9.1%
-0.089672659 1
9.1%
ValueCountFrequency (%)
1.696657303 1
9.1%
1.256974241 1
9.1%
1.203692913 1
9.1%
0.8181187172 1
9.1%
0.3298388341 1
9.1%

totdebt_invcap
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5156257571
Minimum-0.8680056355
Maximum1.660688722
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:49:57.396801image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8680056355
5-th percentile-0.7099811744
Q1-0.3694402748
median0.7675765117
Q31.348886675
95-th percentile1.574232259
Maximum1.660688722
Range2.528694358
Interquartile range (IQR)1.71832695

Descriptive statistics

Standard deviation0.9344903361
Coefficient of variation (CV)1.812342233
Kurtosis-1.738009073
Mean0.5156257571
Median Absolute Deviation (MAD)0.7201992837
Skewness-0.2464425355
Sum5.671883328
Variance0.8732721882
MonotonicityNot monotonic
2025-03-30T10:49:57.767880image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.431231005 1
9.1%
1.487775795 1
9.1%
-0.2230494593 1
9.1%
1.660688722 1
9.1%
1.266542345 1
9.1%
0.7675765117 1
9.1%
-0.5158310904 1
9.1%
-0.5519567132 1
9.1%
0.2023513983 1
9.1%
-0.8680056355 1
9.1%
ValueCountFrequency (%)
-0.8680056355 1
9.1%
-0.5519567132 1
9.1%
-0.5158310904 1
9.1%
-0.2230494593 1
9.1%
0.2023513983 1
9.1%
ValueCountFrequency (%)
1.660688722 1
9.1%
1.487775795 1
9.1%
1.431231005 1
9.1%
1.266542345 1
9.1%
1.014560449 1
9.1%

capital_ratio
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07845442658
Minimum-2.30456004
Maximum1.760403014
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:49:58.127946image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.30456004
5-th percentile-1.568930896
Q1-0.4727864613
median-0.2851522704
Q30.4370583115
95-th percentile1.341786924
Maximum1.760403014
Range4.064963054
Interquartile range (IQR)0.9098447728

Descriptive statistics

Standard deviation1.053562044
Coefficient of variation (CV)-13.42896876
Kurtosis1.423103704
Mean-0.07845442658
Median Absolute Deviation (MAD)0.6440021603
Skewness-0.423408619
Sum-0.8629986923
Variance1.10999298
MonotonicityNot monotonic
2025-03-30T10:49:58.556800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.4388354986 1
9.1%
-0.2851522704 1
9.1%
-0.8333017525 1
9.1%
-0.410952068 1
9.1%
0.4194812299 1
9.1%
0.9231708346 1
9.1%
0.3588498899 1
9.1%
-0.5067374239 1
9.1%
-2.30456004 1
9.1%
0.4546353931 1
9.1%
ValueCountFrequency (%)
-2.30456004 1
9.1%
-0.8333017525 1
9.1%
-0.5067374239 1
9.1%
-0.4388354986 1
9.1%
-0.410952068 1
9.1%
ValueCountFrequency (%)
1.760403014 1
9.1%
0.9231708346 1
9.1%
0.4546353931 1
9.1%
0.4194812299 1
9.1%
0.3588498899 1
9.1%

cash_lt
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3127345796
Minimum-1.747242188
Maximum2.311287865
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:49:58.978007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.747242188
5-th percentile-1.432298251
Q1-0.8503882107
median-0.5585118441
Q30.006199555684
95-th percentile1.340246004
Maximum2.311287865
Range4.058530053
Interquartile range (IQR)0.8565877664

Descriptive statistics

Standard deviation1.050934036
Coefficient of variation (CV)-3.360466364
Kurtosis3.733912545
Mean-0.3127345796
Median Absolute Deviation (MAD)0.5373268727
Skewness1.531629363
Sum-3.440080376
Variance1.104462347
MonotonicityNot monotonic
2025-03-30T10:49:59.416950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.03358408273 1
9.1%
-0.02118497136 1
9.1%
0.3692041425 1
9.1%
-1.117354315 1
9.1%
-1.747242188 1
9.1%
-0.5585118441 1
9.1%
2.311287865 1
9.1%
-0.6926746181 1
9.1%
-1.008101803 1
9.1%
-0.3995462577 1
9.1%
ValueCountFrequency (%)
-1.747242188 1
9.1%
-1.117354315 1
9.1%
-1.008101803 1
9.1%
-0.6926746181 1
9.1%
-0.6095404688 1
9.1%
ValueCountFrequency (%)
2.311287865 1
9.1%
0.3692041425 1
9.1%
0.03358408273 1
9.1%
-0.02118497136 1
9.1%
-0.3995462577 1
9.1%

debt_at
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4656428218
Minimum-1.413053953
Maximum2.312863036
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)90.9%
Memory size176.0 B
2025-03-30T10:49:59.861252image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.413053953
5-th percentile-1.411106816
Q1-1.013457067
median-0.6665431106
Q3-0.2947011482
95-th percentile1.081461628
Maximum2.312863036
Range3.725916988
Interquartile range (IQR)0.7187559192

Descriptive statistics

Standard deviation1.02128836
Coefficient of variation (CV)-2.193287027
Kurtosis6.181247275
Mean-0.4656428218
Median Absolute Deviation (MAD)0.3577495749
Skewness2.229226732
Sum-5.122071039
Variance1.043029915
MonotonicityNot monotonic
2025-03-30T10:50:00.272868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.3789853972 1
9.1%
2.312863036 1
9.1%
-1.413053953 1
9.1%
-1.024292686 1
9.1%
-0.3368581742 1
9.1%
-0.2525441222 1
9.1%
-0.1499397798 1
9.1%
-1.002621449 1
9.1%
-1.40915968 1
9.1%
-0.6665431106 1
9.1%
ValueCountFrequency (%)
-1.413053953 1
9.1%
-1.40915968 1
9.1%
-1.024292686 1
9.1%
-1.002621449 1
9.1%
-0.8009357237 1
9.1%
ValueCountFrequency (%)
2.312863036 1
9.1%
-0.1499397798 1
9.1%
-0.2525441222 1
9.1%
-0.3368581742 1
9.1%
-0.3789853972 1
9.1%

debt_ebitda
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2491518449
Minimum-1.591822052
Maximum2.179345399
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:50:00.694459image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.591822052
5-th percentile-1.475858586
Q1-0.8166031997
median0.5540527008
Q31.171948404
95-th percentile1.963503977
Maximum2.179345399
Range3.771167451
Interquartile range (IQR)1.988551604

Descriptive statistics

Standard deviation1.31077914
Coefficient of variation (CV)5.260965017
Kurtosis-1.367723572
Mean0.2491518449
Median Absolute Deviation (MAD)0.9599455176
Skewness-0.06390865084
Sum2.740670294
Variance1.718141953
MonotonicityNot monotonic
2025-03-30T10:50:01.089764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.242007216 1
9.1%
0.8298985905 1
9.1%
0.7833969164 1
9.1%
-0.2827605157 1
9.1%
1.747662556 1
9.1%
-1.35989512 1
9.1%
2.179345399 1
9.1%
-1.591822052 1
9.1%
-0.3911991834 1
9.1%
1.513998218 1
9.1%
ValueCountFrequency (%)
-1.591822052 1
9.1%
-1.35989512 1
9.1%
-1.242007216 1
9.1%
-0.3911991834 1
9.1%
-0.2827605157 1
9.1%
ValueCountFrequency (%)
2.179345399 1
9.1%
1.747662556 1
9.1%
1.513998218 1
9.1%
0.8298985905 1
9.1%
0.7833969164 1
9.1%

lt_debt
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02468091963
Minimum-1.544580717
Maximum2.80868745
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:50:01.510119image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.544580717
5-th percentile-1.234469176
Q1-0.7590248012
median-0.4273840357
Q30.6484011305
95-th percentile1.829528322
Maximum2.80868745
Range4.353268167
Interquartile range (IQR)1.407425932

Descriptive statistics

Standard deviation1.212279291
Coefficient of variation (CV)49.11807621
Kurtosis1.676115042
Mean0.02468091963
Median Absolute Deviation (MAD)0.8544764964
Skewness1.134396921
Sum0.2714901159
Variance1.46962108
MonotonicityNot monotonic
2025-03-30T10:50:01.885430image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.6839395207 1
9.1%
0.8503691928 1
9.1%
2.80868745 1
9.1%
-0.6970892592 1
9.1%
-0.8052958127 1
9.1%
-0.4273840357 1
9.1%
0.4270924608 1
9.1%
-1.544580717 1
9.1%
-0.9243576351 1
9.1%
0.6128627402 1
9.1%
ValueCountFrequency (%)
-1.544580717 1
9.1%
-0.9243576351 1
9.1%
-0.8052958127 1
9.1%
-0.7127537897 1
9.1%
-0.6970892592 1
9.1%
ValueCountFrequency (%)
2.80868745 1
9.1%
0.8503691928 1
9.1%
0.6839395207 1
9.1%
0.6128627402 1
9.1%
0.4270924608 1
9.1%

cash_debt
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2533742679
Minimum-1.372790841
Maximum0.8521927485
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:50:02.250526image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.372790841
5-th percentile-1.274258952
Q1-1.01498163
median-0.1252829179
Q30.3301415091
95-th percentile0.7787963892
Maximum0.8521927485
Range2.22498359
Interquartile range (IQR)1.345123139

Descriptive statistics

Standard deviation0.809949345
Coefficient of variation (CV)-3.19665194
Kurtosis-1.754350619
Mean-0.2533742679
Median Absolute Deviation (MAD)0.8306829479
Skewness-0.06976012178
Sum-2.787116947
Variance0.6560179415
MonotonicityNot monotonic
2025-03-30T10:50:02.627989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.1252829179 1
9.1%
0.70540003 1
9.1%
-0.9992117646 1
9.1%
0.3220803794 1
9.1%
0.3382026389 1
9.1%
0.8521927485 1
9.1%
-1.372790841 1
9.1%
-1.030751495 1
9.1%
-0.61730367 1
9.1%
-1.175727062 1
9.1%
ValueCountFrequency (%)
-1.372790841 1
9.1%
-1.175727062 1
9.1%
-1.030751495 1
9.1%
-0.9992117646 1
9.1%
-0.61730367 1
9.1%
ValueCountFrequency (%)
0.8521927485 1
9.1%
0.70540003 1
9.1%
0.3382026389 1
9.1%
0.3220803794 1
9.1%
0.3160750067 1
9.1%

lt_ppent
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2332760936
Minimum-1.618911697
Maximum1.936389606
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:50:02.998393image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.618911697
5-th percentile-1.131693734
Q1-0.3688100123
median0.4830266591
Q30.6626876504
95-th percentile1.473979115
Maximum1.936389606
Range3.555301303
Interquartile range (IQR)1.031497663

Descriptive statistics

Standard deviation0.9482324632
Coefficient of variation (CV)4.064850575
Kurtosis0.7203809904
Mean0.2332760936
Median Absolute Deviation (MAD)0.5285419648
Skewness-0.2665570489
Sum2.56603703
Variance0.8991448042
MonotonicityNot monotonic
2025-03-30T10:50:03.434781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.4830266591 1
9.1%
-0.2736327398 1
9.1%
0.7720356474 1
9.1%
0.5207567734 1
9.1%
-0.6444757702 1
9.1%
-0.4639872847 1
9.1%
-1.618911697 1
9.1%
1.936389606 1
9.1%
1.011568624 1
9.1%
0.2899275586 1
9.1%
ValueCountFrequency (%)
-1.618911697 1
9.1%
-0.6444757702 1
9.1%
-0.4639872847 1
9.1%
-0.2736327398 1
9.1%
0.2899275586 1
9.1%
ValueCountFrequency (%)
1.936389606 1
9.1%
1.011568624 1
9.1%
0.7720356474 1
9.1%
0.5533396534 1
9.1%
0.5207567734 1
9.1%

dltt_be
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5202480664
Minimum-1.714251417
Maximum1.182272203
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)81.8%
Memory size176.0 B
2025-03-30T10:50:03.816390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.714251417
5-th percentile-1.496668531
Q1-1.049320557
median-0.6279972729
Q3-0.1054193505
95-th percentile0.7536349642
Maximum1.182272203
Range2.89652362
Interquartile range (IQR)0.943901206

Descriptive statistics

Standard deviation0.8171788922
Coefficient of variation (CV)-1.570748543
Kurtosis0.5793400232
Mean-0.5202480664
Median Absolute Deviation (MAD)0.5178666842
Skewness0.7132508542
Sum-5.72272873
Variance0.6677813419
MonotonicityNot monotonic
2025-03-30T10:50:04.166327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.8606534781 1
9.1%
1.182272203 1
9.1%
-1.145863957 1
9.1%
-0.952777156 1
9.1%
-0.4385310306 1
9.1%
-1.714251417 1
9.1%
0.3249977253 1
9.1%
-0.1624870176 1
9.1%
-1.279085646 1
9.1%
-0.04835168348 1
9.1%
ValueCountFrequency (%)
-1.714251417 1
9.1%
-1.279085646 1
9.1%
-1.145863957 1
9.1%
-0.952777156 1
9.1%
-0.8606534781 1
9.1%
ValueCountFrequency (%)
1.182272203 1
9.1%
0.3249977253 1
9.1%
-0.04835168348 1
9.1%
-0.1624870176 1
9.1%
-0.4385310306 1
9.1%

debt_assets
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2774932251
Minimum-2.11370439
Maximum0.9026101579
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:50:04.532151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.11370439
5-th percentile-1.633543895
Q1-0.8282972021
median-0.139896755
Q30.4842307259
95-th percentile0.8004019289
Maximum0.9026101579
Range3.016314548
Interquartile range (IQR)1.312527928

Descriptive statistics

Standard deviation0.9188434274
Coefficient of variation (CV)-3.311228327
Kurtosis-0.1175286159
Mean-0.2774932251
Median Absolute Deviation (MAD)0.6699266809
Skewness-0.5959311077
Sum-3.052425476
Variance0.8442732441
MonotonicityNot monotonic
2025-03-30T10:50:04.913250image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.5406793428 1
9.1%
0.9026101579 1
9.1%
-0.139896755 1
9.1%
-1.153383399 1
9.1%
-0.9548380968 1
9.1%
0.6981936999 1
9.1%
-0.7017563074 1
9.1%
0.5300299259 1
9.1%
-0.01743249418 1
9.1%
0.438431526 1
9.1%
ValueCountFrequency (%)
-2.11370439 1
9.1%
-1.153383399 1
9.1%
-0.9548380968 1
9.1%
-0.7017563074 1
9.1%
-0.5406793428 1
9.1%
ValueCountFrequency (%)
0.9026101579 1
9.1%
0.6981936999 1
9.1%
0.5300299259 1
9.1%
0.438431526 1
9.1%
-0.01743249418 1
9.1%

debt_capital
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3113796363
Minimum-0.8827301165
Maximum3.198398193
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:50:05.294059image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8827301165
5-th percentile-0.7378437189
Q1-0.4362907648
median-0.1970565307
Q30.6238192314
95-th percentile2.506526768
Maximum3.198398193
Range4.08112831
Interquartile range (IQR)1.060109996

Descriptive statistics

Standard deviation1.220850249
Coefficient of variation (CV)3.920777425
Kurtosis2.291662747
Mean0.3113796363
Median Absolute Deviation (MAD)0.3959007907
Skewness1.598236798
Sum3.425175999
Variance1.490475329
MonotonicityNot monotonic
2025-03-30T10:50:05.708161image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.5647473552 1
9.1%
-0.8827301165 1
9.1%
-0.2662947136 1
9.1%
-0.1970565307 1
9.1%
-0.2923233553 1
9.1%
3.198398193 1
9.1%
-0.5929573214 1
9.1%
0.6828911077 1
9.1%
-0.5802581744 1
9.1%
-0.02389578761 1
9.1%
ValueCountFrequency (%)
-0.8827301165 1
9.1%
-0.5929573214 1
9.1%
-0.5802581744 1
9.1%
-0.2923233553 1
9.1%
-0.2662947136 1
9.1%
ValueCountFrequency (%)
3.198398193 1
9.1%
1.814655342 1
9.1%
0.6828911077 1
9.1%
0.5647473552 1
9.1%
-0.02389578761 1
9.1%

de_ratio
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004791260678
Minimum-1.141026118
Maximum2.378967222
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:50:06.141396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.141026118
5-th percentile-1.106260752
Q1-0.918806297
median-0.08141274691
Q30.4410209297
95-th percentile1.723481144
Maximum2.378967222
Range3.51999334
Interquartile range (IQR)1.359827227

Descriptive statistics

Standard deviation1.072488728
Coefficient of variation (CV)223.8427002
Kurtosis1.073448234
Mean0.004791260678
Median Absolute Deviation (MAD)0.7395090638
Skewness1.032911825
Sum0.05270386746
Variance1.150232071
MonotonicityNot monotonic
2025-03-30T10:50:06.539201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.6105642755 1
9.1%
-0.08141274691 1
9.1%
0.2714775839 1
9.1%
-1.141026118 1
9.1%
2.378967222 1
9.1%
-0.8209218107 1
9.1%
-0.2739522214 1
9.1%
-1.071495385 1
9.1%
-1.016690783 1
9.1%
1.067995067 1
9.1%
ValueCountFrequency (%)
-1.141026118 1
9.1%
-1.071495385 1
9.1%
-1.016690783 1
9.1%
-0.8209218107 1
9.1%
-0.2739522214 1
9.1%
ValueCountFrequency (%)
2.378967222 1
9.1%
1.067995067 1
9.1%
0.6105642755 1
9.1%
0.2714775839 1
9.1%
0.1291987854 1
9.1%

at_turn
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1941146591
Minimum-1.431452291
Maximum1.878222385
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:50:06.934198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.431452291
5-th percentile-1.289881171
Q1-0.98456803
median-0.3098972203
Q30.2846354868
95-th percentile1.540029596
Maximum1.878222385
Range3.309674677
Interquartile range (IQR)1.269203517

Descriptive statistics

Standard deviation1.043096713
Coefficient of variation (CV)-5.373611236
Kurtosis-0.01571211993
Mean-0.1941146591
Median Absolute Deviation (MAD)0.8329373226
Skewness0.8714621991
Sum-2.13526125
Variance1.088050753
MonotonicityNot monotonic
2025-03-30T10:50:07.332735image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.201836806 1
9.1%
0.5789193066 1
9.1%
-1.142834543 1
9.1%
-0.3098972203 1
9.1%
1.878222385 1
9.1%
-0.6936786429 1
9.1%
-1.431452291 1
9.1%
-1.148310051 1
9.1%
-0.8263015171 1
9.1%
-0.2321171489 1
9.1%
ValueCountFrequency (%)
-1.431452291 1
9.1%
-1.148310051 1
9.1%
-1.142834543 1
9.1%
-0.8263015171 1
9.1%
-0.6936786429 1
9.1%
ValueCountFrequency (%)
1.878222385 1
9.1%
1.201836806 1
9.1%
0.5789193066 1
9.1%
-0.009648332951 1
9.1%
-0.2321171489 1
9.1%

rect_turn
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4341531057
Minimum-0.7646206182
Maximum2.24175983
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:50:07.731170image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7646206182
5-th percentile-0.6171031681
Q1-0.1247065269
median0.203293503
Q30.7807745827
95-th percentile2.063038337
Maximum2.24175983
Range3.006380449
Interquartile range (IQR)0.9054811096

Descriptive statistics

Standard deviation0.9369416226
Coefficient of variation (CV)2.158090338
Kurtosis0.153975942
Mean0.4341531057
Median Absolute Deviation (MAD)0.4584064282
Skewness0.9104415312
Sum4.775684163
Variance0.8778596042
MonotonicityNot monotonic
2025-03-30T10:50:08.073843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.4695857181 1
9.1%
-0.7646206182 1
9.1%
0.3492788347 1
9.1%
-0.005723830903 1
9.1%
1.884316844 1
9.1%
0.6616999312 1
9.1%
0.203293503 1
9.1%
0.01910537529 1
9.1%
0.8998492342 1
9.1%
-0.2436892229 1
9.1%
ValueCountFrequency (%)
-0.7646206182 1
9.1%
-0.4695857181 1
9.1%
-0.2436892229 1
9.1%
-0.005723830903 1
9.1%
0.01910537529 1
9.1%
ValueCountFrequency (%)
2.24175983 1
9.1%
1.884316844 1
9.1%
0.8998492342 1
9.1%
0.6616999312 1
9.1%
0.3492788347 1
9.1%

pay_turn
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2810814531
Minimum-1.209669185
Maximum0.9511045598
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)27.3%
Memory size176.0 B
2025-03-30T10:50:08.464894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.209669185
5-th percentile-0.932711591
Q1-0.159277575
median0.665394498
Q30.842957273
95-th percentile0.9382885966
Maximum0.9511045598
Range2.160773745
Interquartile range (IQR)1.002234848

Descriptive statistics

Standard deviation0.7324751606
Coefficient of variation (CV)2.605917795
Kurtosis-0.03629745566
Mean0.2810814531
Median Absolute Deviation (MAD)0.2857100618
Skewness-1.029401033
Sum3.091895985
Variance0.5365198609
MonotonicityNot monotonic
2025-03-30T10:50:08.841100image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.9254726334 1
9.1%
-1.209669185 1
9.1%
-0.6557539967 1
9.1%
0.0009704008253 1
9.1%
-0.3195255509 1
9.1%
0.665394498 1
9.1%
0.356414044 1
9.1%
0.7775584906 1
9.1%
0.9083560553 1
9.1%
0.9511045598 1
9.1%
ValueCountFrequency (%)
-1.209669185 1
9.1%
-0.6557539967 1
9.1%
-0.3195255509 1
9.1%
0.0009704008253 1
9.1%
0.356414044 1
9.1%
ValueCountFrequency (%)
0.9511045598 1
9.1%
0.9254726334 1
9.1%
0.9083560553 1
9.1%
0.7775584906 1
9.1%
0.6915740355 1
9.1%

sale_invcap
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2589510812
Minimum-1.828401934
Maximum1.463682002
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)36.4%
Memory size176.0 B
2025-03-30T10:50:09.201548image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.828401934
5-th percentile-1.236515784
Q1-0.2527513561
median0.4316661839
Q30.8835604083
95-th percentile1.201129047
Maximum1.463682002
Range3.292083936
Interquartile range (IQR)1.136311764

Descriptive statistics

Standard deviation0.9409556194
Coefficient of variation (CV)3.6337196
Kurtosis1.137871679
Mean0.2589510812
Median Absolute Deviation (MAD)0.4901496521
Skewness-1.105815732
Sum2.848461894
Variance0.8853974776
MonotonicityNot monotonic
2025-03-30T10:50:09.563049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.0216166869 1
9.1%
1.463682002 1
9.1%
0.921815836 1
9.1%
0.4316661839 1
9.1%
-0.6446296339 1
9.1%
0.8453049806 1
9.1%
-0.4838860254 1
9.1%
-1.828401934 1
9.1%
0.9385760925 1
9.1%
0.421946285 1
9.1%
ValueCountFrequency (%)
-1.828401934 1
9.1%
-0.6446296339 1
9.1%
-0.4838860254 1
9.1%
-0.0216166869 1
9.1%
0.421946285 1
9.1%
ValueCountFrequency (%)
1.463682002 1
9.1%
0.9385760925 1
9.1%
0.921815836 1
9.1%
0.8453049806 1
9.1%
0.8040047938 1
9.1%

sale_equity
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1278325442
Minimum-1.967106457
Maximum1.534656529
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)63.6%
Memory size176.0 B
2025-03-30T10:50:09.948400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.967106457
5-th percentile-1.572232423
Q1-0.6932324737
median-0.3667412731
Q30.6172457099
95-th percentile1.378780544
Maximum1.534656529
Range3.501762986
Interquartile range (IQR)1.310478184

Descriptive statistics

Standard deviation1.071210794
Coefficient of variation (CV)-8.37979719
Kurtosis-0.5142301892
Mean-0.1278325442
Median Absolute Deviation (MAD)0.49477249
Skewness0.1114585035
Sum-1.406157986
Variance1.147492566
MonotonicityNot monotonic
2025-03-30T10:50:10.341921image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.410983776 1
9.1%
-0.8257388278 1
9.1%
1.222904559 1
9.1%
0.1280312169 1
9.1%
1.534656529 1
9.1%
1.106460203 1
9.1%
-0.3667412731 1
9.1%
-0.5607261197 1
9.1%
-1.177358388 1
9.1%
-1.967106457 1
9.1%
ValueCountFrequency (%)
-1.967106457 1
9.1%
-1.177358388 1
9.1%
-0.8257388278 1
9.1%
-0.5607261197 1
9.1%
-0.410983776 1
9.1%
ValueCountFrequency (%)
1.534656529 1
9.1%
1.222904559 1
9.1%
1.106460203 1
9.1%
0.1280312169 1
9.1%
-0.08955565133 1
9.1%

rd_sale
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09029255335
Minimum-2.17116538
Maximum2.702610718
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)54.5%
Memory size176.0 B
2025-03-30T10:50:10.728779image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.17116538
5-th percentile-1.459240557
Q1-0.1982626333
median-0.0002433456225
Q30.1362375943
95-th percentile2.064582768
Maximum2.702610718
Range4.873776098
Interquartile range (IQR)0.3345002276

Descriptive statistics

Standard deviation1.211670205
Coefficient of variation (CV)13.41938134
Kurtosis2.33400907
Mean0.09029255335
Median Absolute Deviation (MAD)0.2327269681
Skewness0.5492079424
Sum0.9932180868
Variance1.468144686
MonotonicityNot monotonic
2025-03-30T10:50:11.106663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.426554819 1
9.1%
-2.17116538 1
9.1%
-0.1136368523 1
9.1%
-0.2828884143 1
9.1%
0.03999156609 1
9.1%
-0.747315734 1
9.1%
-0.1040146567 1
9.1%
0.01084174429 1
9.1%
0.2324836225 1
9.1%
2.702610718 1
9.1%
ValueCountFrequency (%)
-2.17116538 1
9.1%
-0.747315734 1
9.1%
-0.2828884143 1
9.1%
-0.1136368523 1
9.1%
-0.1040146567 1
9.1%
ValueCountFrequency (%)
2.702610718 1
9.1%
1.426554819 1
9.1%
0.2324836225 1
9.1%
0.03999156609 1
9.1%
0.01084174429 1
9.1%

adv_sale
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3197321593
Minimum-1.634273042
Maximum1.444037664
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)72.7%
Memory size176.0 B
2025-03-30T10:50:11.463064image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.634273042
5-th percentile-1.377837231
Q1-0.7385910311
median-0.4083327244
Q3-0.01754193526
95-th percentile0.9728797984
Maximum1.444037664
Range3.078310706
Interquartile range (IQR)0.7210490958

Descriptive statistics

Standard deviation0.82466292
Coefficient of variation (CV)-2.579230447
Kurtosis1.26551919
Mean-0.3197321593
Median Absolute Deviation (MAD)0.4142614718
Skewness0.665677876
Sum-3.517053752
Variance0.6800689316
MonotonicityNot monotonic
2025-03-30T10:50:11.844397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.121401421 1
9.1%
-0.5330306601 1
9.1%
-0.04101261799 1
9.1%
-0.4083327244 1
9.1%
1.444037664 1
9.1%
-1.634273042 1
9.1%
0.005928747478 1
9.1%
-0.944151402 1
9.1%
0.5017219327 1
9.1%
-0.450393631 1
9.1%
ValueCountFrequency (%)
-1.634273042 1
9.1%
-1.121401421 1
9.1%
-0.944151402 1
9.1%
-0.5330306601 1
9.1%
-0.450393631 1
9.1%
ValueCountFrequency (%)
1.444037664 1
9.1%
0.5017219327 1
9.1%
0.005928747478 1
9.1%
-0.04101261799 1
9.1%
-0.3361465985 1
9.1%

staff_sale
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3073245663
Minimum-0.9906439503
Maximum0.9429839543
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)27.3%
Memory size176.0 B
2025-03-30T10:50:12.242208image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9906439503
5-th percentile-0.802988448
Q1-0.1752892408
median0.6766799548
Q30.7654834518
95-th percentile0.8983737862
Maximum0.9429839543
Range1.933627905
Interquartile range (IQR)0.9407726926

Descriptive statistics

Standard deviation0.6785397464
Coefficient of variation (CV)2.20789296
Kurtosis-0.5494994726
Mean0.3073245663
Median Absolute Deviation (MAD)0.1770836633
Skewness-0.9968965296
Sum3.380570229
Variance0.4604161874
MonotonicityNot monotonic
2025-03-30T10:50:12.655027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.8537636181 1
9.1%
-0.6153329456 1
9.1%
0.7756236861 1
9.1%
0.6766799548 1
9.1%
0.7241486189 1
9.1%
-0.9906439503 1
9.1%
0.9429839543 1
9.1%
0.6085825568 1
9.1%
0.7553432176 1
9.1%
0.0230856607 1
9.1%
ValueCountFrequency (%)
-0.9906439503 1
9.1%
-0.6153329456 1
9.1%
-0.3736641423 1
9.1%
0.0230856607 1
9.1%
0.6085825568 1
9.1%
ValueCountFrequency (%)
0.9429839543 1
9.1%
0.8537636181 1
9.1%
0.7756236861 1
9.1%
0.7553432176 1
9.1%
0.7241486189 1
9.1%

accrual
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.109291394
Minimum-1.225791485
Maximum1.619982864
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)45.5%
Memory size176.0 B
2025-03-30T10:50:13.035743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.225791485
5-th percentile-1.093016777
Q1-0.1935082164
median0.1209144294
Q30.4607267051
95-th percentile1.29931791
Maximum1.619982864
Range2.845774349
Interquartile range (IQR)0.6542349215

Descriptive statistics

Standard deviation0.807903424
Coefficient of variation (CV)7.392196169
Kurtosis0.3052393781
Mean0.109291394
Median Absolute Deviation (MAD)0.4233882878
Skewness0.1382603951
Sum1.202205334
Variance0.6527079425
MonotonicityNot monotonic
2025-03-30T10:50:13.400531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.9786529554 1
9.1%
-0.3024738584 1
9.1%
0.6651080553 1
9.1%
0.1209144294 1
9.1%
0.2563453549 1
9.1%
-1.225791485 1
9.1%
-0.9602420684 1
9.1%
1.619982864 1
9.1%
-0.0362734863 1
9.1%
-0.08454257445 1
9.1%
ValueCountFrequency (%)
-1.225791485 1
9.1%
-0.9602420684 1
9.1%
-0.3024738584 1
9.1%
-0.08454257445 1
9.1%
-0.0362734863 1
9.1%
ValueCountFrequency (%)
1.619982864 1
9.1%
0.9786529554 1
9.1%
0.6651080553 1
9.1%
0.2563453549 1
9.1%
0.1705251474 1
9.1%
Distinct4
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size176.0 B
2025-03-30T10:50:13.893457image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length108
Median length105
Mean length96.27272727
Min length83

Characters and Unicode

Total characters1059
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)18.2%

Sample

1st rowThe company reported a steady increase in revenue, reflecting strong market demand.
2nd rowThe company reported a steady increase in revenue, reflecting strong market demand.
3rd rowChallenges remain in the supply chain, but strategic investments in logistics are improving efficiencies.
4th rowChallenges remain in the supply chain, but strategic investments in logistics are improving efficiencies.
5th rowChallenges remain in the supply chain, but strategic investments in logistics are improving efficiencies.
ValueCountFrequency (%)
in 15
 
10.3%
the 10
 
6.8%
remain 5
 
3.4%
challenges 5
 
3.4%
supply 5
 
3.4%
chain 5
 
3.4%
but 5
 
3.4%
strategic 5
 
3.4%
investments 5
 
3.4%
logistics 5
 
3.4%
Other values (38) 81
55.5%
2025-03-30T10:50:14.839794image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
12.7%
e 127
12.0%
i 93
 
8.8%
n 87
 
8.2%
t 72
 
6.8%
s 64
 
6.0%
r 61
 
5.8%
a 61
 
5.8%
c 42
 
4.0%
o 35
 
3.3%
Other values (19) 282
26.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1059
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
135
12.7%
e 127
12.0%
i 93
 
8.8%
n 87
 
8.2%
t 72
 
6.8%
s 64
 
6.0%
r 61
 
5.8%
a 61
 
5.8%
c 42
 
4.0%
o 35
 
3.3%
Other values (19) 282
26.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1059
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
135
12.7%
e 127
12.0%
i 93
 
8.8%
n 87
 
8.2%
t 72
 
6.8%
s 64
 
6.0%
r 61
 
5.8%
a 61
 
5.8%
c 42
 
4.0%
o 35
 
3.3%
Other values (19) 282
26.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1059
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
135
12.7%
e 127
12.0%
i 93
 
8.8%
n 87
 
8.2%
t 72
 
6.8%
s 64
 
6.0%
r 61
 
5.8%
a 61
 
5.8%
c 42
 
4.0%
o 35
 
3.3%
Other values (19) 282
26.6%